Summary
AI & Machine Learning
Energy
Financial Services
Life Sciences
Media & Entertainment
Product Design
Productivity & Development
Subsystem Scores
Workload Scores
Configuration
SPECworkstation® 4.0.0 Summary
Official Submission Candidate
23 of 23 workloads produced scores
System Configuration
Manufacturer | LENOVO |
Model | Lenovo ThinkStation P8 |
CPU | AMD Ryzen Threadripper PRO 7995WX 96-Cores |
Memory | 512.00 GB @ 4800 MHz |
GPU | NVIDIA RTX 6000 Ada Generation |
Display | LEN P27u-10 27.2" (3840x2160) |
Storage | Drive 1: KXG8AZNV2T04 LA KIOXIA 1907.73 GB - SCSI Drive 2: WD PC SN810 SDCQNRY-1T00-1201 953.86 GB - SCSI Drive 3: KXG8AZNV2T04 LA KIOXIA 1907.73 GB - SCSI Drive 4: KXG8AZNV2T04 LA KIOXIA 1907.73 GB - SCSI Drive 5: KXG8AZNV2T04 LA KIOXIA 1907.73 GB - SCSI |
OS | Microsoft Windows 11 Pro (26100) |
Submission Details
Result Date | Wed Nov 20 2024 10:31:29 GMT-0500 (Eastern Standard Time) |
Submitter Company | |
Submitter Name | |
Submitter Comments |
Industry Vertical Scores
AI & Machine Learning |
3.82 |
Energy |
7.68 |
Financial Services |
7.63 |
Life Sciences |
6.30 |
Media & Entertainment |
4.71 |
Product Design |
3.99 |
Productivity & Development |
2.15 |
Hardware Subsystem Scores
CPU | 4.38 |
Accelerator | 6.63 |
Graphics | 13.67 |
Storage | 1.67 |
Workload | SPEC Ratio |
---|---|
7-Zip | 3.88 |
Autodesk Inventor | 0.93 |
Blender | 5.74 |
Convolution | 7.35 |
Data Science | 2.29 |
HandBrake | 2.48 |
Hidden Line Removal | 2.02 |
LAMMPS | 6.58 |
LLVM Clang | 4.87 |
LuxCoreRender | 6.64 |
MFEM | 4.42 |
NAMD | 5.95 |
Octave | 1.18 |
ONNX Inference | 6.36 |
OpenFOAM | 37.10 |
Options Pricing | 7.63 |
Poisson | 19.30 |
Python 3 | 1.44 |
Rodinia CFD | 4.00 |
Rodinia Life Sciences | 7.66 |
SRMP | 5.23 |
Viewport Graphics | 13.70 |
WPCstorage | 1.67 |
Industry Vertical Scores
AI & Machine Learning | 3.82 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Data Science |
|
|||
Pandas | 131.99 |
122.99
|
sec |
1.07
|
Scikit-learn | 449.17 |
62.77
|
sec |
7.16
|
XGBoost | 91.50 |
58.22
|
sec |
1.57
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
21.49
|
ms |
2.97
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
104.58
|
inferences/sec |
5.71
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
12.78
|
ms |
1.75
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
325.35
|
inferences/sec |
6.98
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
37.47
|
ms |
1.56
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
168.85
|
inferences/sec |
8.09
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
22.27
|
ms |
0.96
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
249.74
|
inferences/sec |
4.47
|
GPU ResNet50-FP32-batch32 Throughput | 3.92 |
83.99
|
inferences/sec |
21.40
|
GPU ResNet50-INT8-batch32 Throughput | 1.92 |
134.51
|
inferences/sec |
70.10
|
GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
53.27
|
inferences/sec |
8.08
|
GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
61.70
|
inferences/sec |
32.10
|
Industry Vertical Scores
Energy | 7.68 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Convolution |
|
|||
20K/100 | 0.09 |
0.66
|
iterations/sec |
7.35
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
464.87
|
iterations/sec |
29.00
|
Jacobi Square Grid | 6.19 |
79.87
|
iterations/sec |
12.90
|
SRMP |
|
|||
2D | 19.45 |
3.72
|
sec |
5.23
|
Viewport Graphics |
|
|||
energy | 11.48 |
322.52
|
fps |
28.10
|
WPCstorage |
|
|||
energy | 1547.93 |
1981.45
|
points |
1.28
|
Industry Vertical Scores
Financial Services | 7.63 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
300880.14
|
options/sec |
8.56
|
Black-Scholes | 3389.63 |
27853.77
|
Moptions/sec |
8.22
|
Binomial | 79377.62 |
501514.29
|
options/sec |
6.32
|
Industry Vertical Scores
Life Sciences | 6.30 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
LAMMPS |
|
|||
LJ | 705.82 |
5152.01
|
tau/day |
7.30
|
CHAIN | 1190.35 |
8063.39
|
tau/day |
6.77
|
EAM | 0.63 |
5.08
|
ns/day |
8.06
|
CHUTE | 38.25 |
203.46
|
tau/day |
5.32
|
RHODO | 0.26 |
1.51
|
ns/day |
5.83
|
NAMD |
|
|||
apoa1 | 45.38 |
7.98
|
ms/step |
5.69
|
f1atpase | 130.50 |
22.42
|
ms/step |
5.82
|
stmv | 448.57 |
70.60
|
ms/step |
6.35
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
5.08
|
fps |
7.37
|
HotSpot | 8.55 |
1.68
|
sec |
5.10
|
LavaMD | 0.07 |
0.63
|
iterations/sec |
8.97
|
SRAD | 47.04 |
479.24
|
iterations/sec |
10.20
|
Viewport Graphics |
|
|||
medical | 9.63 |
225.15
|
fps |
23.40
|
WPCstorage |
|
|||
namd | 1250.61 |
1762.75
|
points |
1.41
|
Industry Vertical Scores
Media & Entertainment | 4.71 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Blender |
|
|||
Classroom | 281.72 |
13.38
|
sec |
21.10
|
BMW27 | 43.82 |
6.38
|
sec |
6.87
|
BMW1M | 17.74 |
2.94
|
sec |
6.02
|
Island | 29.68 |
23.93
|
sec |
1.24
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
96.16
|
sec |
2.03
|
x265 4K to 1080p | 38.36 |
18.86
|
sec |
2.03
|
x265 4K to 4K | 107.73 |
40.30
|
sec |
2.67
|
x264 1080p to 1080p | 49.98 |
7.28
|
sec |
6.87
|
GPU H.265 4K to 4K | 169.65 |
136.45
|
fps |
0.80
|
GPU H.265 4K to 1080p | 128.84 |
495.87
|
fps |
3.85
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
17.75
|
Msamples/sec |
7.22
|
Food | 1.84 |
14.21
|
Msamples/sec |
7.72
|
Danish Mood | 2.29 |
9.83
|
Msamples/sec |
4.29
|
Procedural Leaves | 1.10 |
8.96
|
Msamples/sec |
8.15
|
Viewport Graphics |
|
|||
3dsmax | 15.96 |
324.27
|
fps |
20.30
|
maya | 62.09 |
655.39
|
fps |
10.60
|
WPCstorage |
|
|||
3dsmax | 3299.42 |
4939.38
|
points |
1.50
|
handbrake | 1897.99 |
3082.39
|
points |
1.62
|
maya | 2037.06 |
4872.33
|
points |
2.39
|
MayaVenice | 472.63 |
906.71
|
points |
1.92
|
MandE | 1625.72 |
1845.93
|
points |
1.14
|
Industry Vertical Scores
Product Design | 3.99 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
4740.00
|
ms |
0.90
|
Create/Update Files | 4973.68 |
5339.00
|
ms |
0.93
|
Rebuild | 10590.28 |
10443.00
|
ms |
1.01
|
Render Style/Material | 628.78 |
713.00
|
ms |
0.88
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
49.18
|
fps |
2.02
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
51.45
|
sec |
4.42
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
21.66
|
sec |
37.10
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
552.90
|
iterations/sec |
4.00
|
Viewport Graphics |
|
|||
catia | 17.57 |
158.87
|
fps |
9.04
|
creo | 48.42 |
224.42
|
fps |
4.63
|
solidworks | 42.90 |
646.74
|
fps |
15.10
|
WPCstorage |
|
|||
ccx | 1398.45 |
2600.89
|
points |
1.86
|
cfd | 1921.51 |
2854.87
|
points |
1.49
|
icePack | 1543.34 |
1869.40
|
points |
1.21
|
mcad | 2612.50 |
5542.11
|
points |
2.12
|
proddev | 659.82 |
735.07
|
points |
1.11
|
Industry Vertical Scores
Productivity & Development | 2.15 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
16.60
|
sec |
0.97
|
Compression | 254.57 |
36.19
|
sec |
7.04
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
115.67
|
sec |
4.87
|
Octave |
|
|||
obench | 1.20 |
0.99
|
sec/operation |
1.21
|
benchmark2 | 0.11 |
0.10
|
sec/operation |
1.16
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.69
|
sec |
0.53
|
NumPy Add Matrix | 4.44 |
4.71
|
sec |
0.94
|
NumPy Multiply Matrix | 8.06 |
6.62
|
sec |
1.22
|
NumPy Invert Matrix | 15.53 |
10.00
|
sec |
1.55
|
NumPy Sin Matrix | 2.67 |
2.79
|
sec |
0.96
|
Multi-Matrix | 65.50 |
30.93
|
sec |
2.12
|
WPCstorage |
|
|||
7zip | 431.06 |
1791.79
|
points |
4.16
|
mozillaVS | 7708.43 |
13988.20
|
points |
1.81
|
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
6.63
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
HandBrake |
|
|||
GPU H.265 4K to 4K | 169.65 |
136.45
|
fps |
0.80
|
GPU H.265 4K to 1080p | 128.84 |
495.87
|
fps |
3.85
|
ONNX Inference |
|
|||
GPU ResNet50-FP32-batch32 Throughput | 3.92 |
83.99
|
inferences/sec |
21.40
|
GPU ResNet50-INT8-batch32 Throughput | 1.92 |
134.51
|
inferences/sec |
70.10
|
GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
53.27
|
inferences/sec |
8.08
|
GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
61.70
|
inferences/sec |
32.10
|
4.38
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
16.60
|
sec |
0.97
|
Compression | 254.57 |
36.19
|
sec |
7.04
|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
4740.00
|
ms |
0.90
|
Create/Update Files | 4973.68 |
5339.00
|
ms |
0.93
|
Rebuild | 10590.28 |
10443.00
|
ms |
1.01
|
Render Style/Material | 628.78 |
713.00
|
ms |
0.88
|
Blender |
|
|||
Classroom | 281.72 |
13.38
|
sec |
21.10
|
BMW27 | 43.82 |
6.38
|
sec |
6.87
|
BMW1M | 17.74 |
2.94
|
sec |
6.02
|
Island | 29.68 |
23.93
|
sec |
1.24
|
Convolution |
|
|||
20K/100 | 0.09 |
0.66
|
iterations/sec |
7.35
|
Data Science |
|
|||
Pandas | 131.99 |
122.99
|
sec |
1.07
|
Scikit-learn | 449.17 |
62.77
|
sec |
7.16
|
XGBoost | 91.50 |
58.22
|
sec |
1.57
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
96.16
|
sec |
2.03
|
x265 4K to 1080p | 38.36 |
18.86
|
sec |
2.03
|
x265 4K to 4K | 107.73 |
40.30
|
sec |
2.67
|
x264 1080p to 1080p | 49.98 |
7.28
|
sec |
6.87
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
49.18
|
fps |
2.02
|
LAMMPS |
|
|||
LJ | 705.82 |
5152.01
|
tau/day |
7.30
|
CHAIN | 1190.35 |
8063.39
|
tau/day |
6.77
|
EAM | 0.63 |
5.08
|
ns/day |
8.06
|
CHUTE | 38.25 |
203.46
|
tau/day |
5.32
|
RHODO | 0.26 |
1.51
|
ns/day |
5.83
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
115.67
|
sec |
4.87
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
17.75
|
Msamples/sec |
7.22
|
Food | 1.84 |
14.21
|
Msamples/sec |
7.72
|
Danish Mood | 2.29 |
9.83
|
Msamples/sec |
4.29
|
Procedural Leaves | 1.10 |
8.96
|
Msamples/sec |
8.15
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
51.45
|
sec |
4.42
|
NAMD |
|
|||
apoa1 | 45.38 |
7.98
|
ms/step |
5.69
|
f1atpase | 130.50 |
22.42
|
ms/step |
5.82
|
stmv | 448.57 |
70.60
|
ms/step |
6.35
|
Octave |
|
|||
obench | 1.20 |
0.99
|
sec/operation |
1.21
|
benchmark2 | 0.11 |
0.10
|
sec/operation |
1.16
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
21.49
|
ms |
2.97
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
104.58
|
inferences/sec |
5.71
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
12.78
|
ms |
1.75
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
325.35
|
inferences/sec |
6.98
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
37.47
|
ms |
1.56
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
168.85
|
inferences/sec |
8.09
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
22.27
|
ms |
0.96
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
249.74
|
inferences/sec |
4.47
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
21.66
|
sec |
37.10
|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
300880.14
|
options/sec |
8.56
|
Black-Scholes | 3389.63 |
27853.77
|
Moptions/sec |
8.22
|
Binomial | 79377.62 |
501514.29
|
options/sec |
6.32
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
464.87
|
iterations/sec |
29.00
|
Jacobi Square Grid | 6.19 |
79.87
|
iterations/sec |
12.90
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.69
|
sec |
0.53
|
NumPy Add Matrix | 4.44 |
4.71
|
sec |
0.94
|
NumPy Multiply Matrix | 8.06 |
6.62
|
sec |
1.22
|
NumPy Invert Matrix | 15.53 |
10.00
|
sec |
1.55
|
NumPy Sin Matrix | 2.67 |
2.79
|
sec |
0.96
|
Multi-Matrix | 65.50 |
30.93
|
sec |
2.12
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
552.90
|
iterations/sec |
4.00
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
5.08
|
fps |
7.37
|
HotSpot | 8.55 |
1.68
|
sec |
5.10
|
LavaMD | 0.07 |
0.63
|
iterations/sec |
8.97
|
SRAD | 47.04 |
479.24
|
iterations/sec |
10.20
|
SRMP |
|
|||
2D | 19.45 |
3.72
|
sec |
5.23
|
13.67
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Viewport Graphics |
|
|||
3dsmax | 15.96 |
324.27
|
fps |
20.30
|
catia | 17.57 |
158.87
|
fps |
9.04
|
creo | 48.42 |
224.42
|
fps |
4.63
|
energy | 11.48 |
322.52
|
fps |
28.10
|
maya | 62.09 |
655.39
|
fps |
10.60
|
medical | 9.63 |
225.15
|
fps |
23.40
|
solidworks | 42.90 |
646.74
|
fps |
15.10
|
1.67
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
WPCstorage |
|
|||
3dsmax | 3299.42 |
4939.38
|
points |
1.50
|
7zip | 431.06 |
1791.79
|
points |
4.16
|
ccx | 1398.45 |
2600.89
|
points |
1.86
|
cfd | 1921.51 |
2854.87
|
points |
1.49
|
energy | 1547.93 |
1981.45
|
points |
1.28
|
handbrake | 1897.99 |
3082.39
|
points |
1.62
|
icePack | 1543.34 |
1869.40
|
points |
1.21
|
maya | 2037.06 |
4872.33
|
points |
2.39
|
MayaVenice | 472.63 |
906.71
|
points |
1.92
|
MandE | 1625.72 |
1845.93
|
points |
1.14
|
mcad | 2612.50 |
5542.11
|
points |
2.12
|
mozillaVS | 7708.43 |
13988.20
|
points |
1.81
|
namd | 1250.61 |
1762.75
|
points |
1.41
|
proddev | 659.82 |
735.07
|
points |
1.11
|
Workload Scores
Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|---|---|
7-Zip | Nov 20, 2024, 10:31:29 AM EST |
3.88
|
||||
Decompression | 16.60 sec | 16.04 |
16.60
|
sec |
0.97
|
|
Compression | 36.19 sec | 254.57 |
36.19
|
sec |
7.04
|
|
Autodesk Inventor | Nov 20, 2024, 10:32:26 AM EST |
0.93
|
||||
Open Document | 4.96 sec | 4253.73 |
4740.00
|
ms |
0.90
|
|
Create/Update Files | 7.18 sec | 4973.68 |
5339.00
|
ms |
0.93
|
|
Rebuild | 10.66 sec | 10590.28 |
10443.00
|
ms |
1.01
|
|
Render Style/Material | 0.92 sec | 628.78 |
713.00
|
ms |
0.88
|
|
Blender | Nov 20, 2024, 10:33:17 AM EST |
5.74
|
||||
Classroom | 13.38 sec | 281.72 |
13.38
|
sec |
21.10
|
|
BMW27 | 6.38 sec | 43.82 |
6.38
|
sec |
6.87
|
|
BMW1M | 2.94 sec | 17.74 |
2.94
|
sec |
6.02
|
|
Island | 23.93 sec | 29.68 |
23.93
|
sec |
1.24
|
|
Convolution | Nov 20, 2024, 10:34:08 AM EST |
7.35
|
||||
20K/100 | 32.03 sec | 0.09 |
0.66
|
iterations/sec |
7.35
|
|
Data Science | Nov 20, 2024, 10:34:40 AM EST |
2.29
|
||||
Pandas | 135.57 sec | 131.99 |
122.99
|
sec |
1.07
|
|
Scikit-learn | 67.14 sec | 449.17 |
62.77
|
sec |
7.16
|
|
XGBoost | 79.29 sec | 91.50 |
58.22
|
sec |
1.57
|
|
HandBrake | Nov 20, 2024, 10:39:36 AM EST |
2.48
|
||||
SVT-AV1 8K to 4K | 96.16 sec | 195.16 |
96.16
|
sec |
2.03
|
|
x265 4K to 1080p | 20.24 sec | 38.36 |
18.86
|
sec |
2.03
|
|
x265 4K to 4K | 41.59 sec | 107.73 |
40.30
|
sec |
2.67
|
|
x264 1080p to 1080p | 7.28 sec | 49.98 |
7.28
|
sec |
6.87
|
|
GPU H.265 4K to 4K | 46.04 sec | 169.65 |
136.45
|
fps |
0.80
|
|
GPU H.265 4K to 1080p | 190.16 sec | 128.84 |
495.87
|
fps |
3.85
|
|
Hidden Line Removal | Nov 20, 2024, 10:46:24 AM EST |
2.02
|
||||
Palatov | 17.40 sec | 24.29 |
46.45
|
fps |
1.91
|
|
Palatov | 17.50 sec | 24.29 |
49.18
|
fps |
2.02
|
|
LAMMPS | Nov 20, 2024, 10:47:00 AM EST |
6.58
|
||||
LJ | 3.58 sec | 705.82 |
5152.01
|
tau/day |
7.30
|
|
CHAIN | 5.16 sec | 1190.35 |
8063.39
|
tau/day |
6.77
|
|
EAM | 3.38 sec | 0.63 |
5.08
|
ns/day |
8.06
|
|
CHUTE | 2.96 sec | 38.25 |
203.46
|
tau/day |
5.32
|
|
RHODO | 3.60 sec | 0.26 |
1.51
|
ns/day |
5.83
|
|
LLVM Clang | Nov 20, 2024, 10:47:19 AM EST |
4.87
|
||||
PyTorch | 137.54 sec | 562.76 |
115.67
|
sec |
4.87
|
|
LuxCoreRender | Nov 20, 2024, 10:50:40 AM EST |
6.64
|
||||
DLSC | 5.06 sec | 2.46 |
17.75
|
Msamples/sec |
7.22
|
|
Food | 9.22 sec | 1.84 |
14.21
|
Msamples/sec |
7.72
|
|
Danish Mood | 17.29 sec | 2.29 |
9.83
|
Msamples/sec |
4.29
|
|
Procedural Leaves | 7.25 sec | 1.10 |
8.96
|
Msamples/sec |
8.15
|
|
MFEM | Nov 20, 2024, 10:51:19 AM EST |
4.42
|
||||
Dynamic AMR | 51.45 sec | 227.39 |
51.45
|
sec |
4.42
|
|
NAMD | Nov 20, 2024, 10:52:11 AM EST |
5.95
|
||||
apoa1 | 12.34 sec | 45.38 |
7.98
|
ms/step |
5.69
|
|
f1atpase | 18.70 sec | 130.50 |
22.42
|
ms/step |
5.82
|
|
stmv | 31.29 sec | 448.57 |
70.60
|
ms/step |
6.35
|
|
Octave | Nov 20, 2024, 10:53:13 AM EST |
1.18
|
||||
obench | 48.80 sec | 1.20 |
0.99
|
sec/operation |
1.21
|
|
benchmark2 | 11.46 sec | 0.11 |
0.10
|
sec/operation |
1.16
|
|
ONNX Inference | Nov 20, 2024, 10:54:24 AM EST |
6.36
|
||||
CPU ResNet50-FP32-batch8 Latency | 20.30 sec | 63.72 |
21.49
|
ms |
2.97
|
|
CPU ResNet50-FP32-batch8 Throughput | 22.02 sec | 18.33 |
104.58
|
inferences/sec |
5.71
|
|
CPU ResNet50-FP32-batch8 Throughput | 22.64 sec | 18.33 |
99.14
|
inferences/sec |
5.41
|
|
CPU ResNet50-INT8-batch8 Latency | 20.16 sec | 22.37 |
12.78
|
ms |
1.75
|
|
CPU ResNet50-INT8-batch8 Throughput | 20.92 sec | 46.62 |
231.21
|
inferences/sec |
4.96
|
|
CPU ResNet50-INT8-batch8 Throughput | 20.86 sec | 46.62 |
325.35
|
inferences/sec |
6.98
|
|
CPU SuperResolution-FP32-batch8 Latency | 20.16 sec | 58.42 |
37.47
|
ms |
1.56
|
|
CPU SuperResolution-FP32-batch8 Throughput | 21.58 sec | 20.87 |
168.85
|
inferences/sec |
8.09
|
|
CPU SuperResolution-FP32-batch8 Throughput | 22.23 sec | 20.87 |
122.42
|
inferences/sec |
5.87
|
|
CPU SuperResolution-INT8-batch8 Latency | 20.14 sec | 21.34 |
22.27
|
ms |
0.96
|
|
CPU SuperResolution-INT8-batch8 Throughput | 20.98 sec | 55.92 |
249.74
|
inferences/sec |
4.47
|
|
CPU SuperResolution-INT8-batch8 Throughput | 21.10 sec | 55.92 |
237.71
|
inferences/sec |
4.25
|
|
GPU ResNet50-FP32-batch32 Throughput | 20.95 sec | 3.92 |
83.99
|
inferences/sec |
21.40
|
|
GPU ResNet50-INT8-batch32 Throughput | 20.74 sec | 1.92 |
134.51
|
inferences/sec |
70.10
|
|
GPU SuperResolution-FP32-batch32 Throughput | 21.92 sec | 6.59 |
53.27
|
inferences/sec |
8.08
|
|
GPU SuperResolution-INT8-batch32 Throughput | 22.08 sec | 1.92 |
61.70
|
inferences/sec |
32.10
|
|
OpenFOAM | Nov 20, 2024, 11:00:04 AM EST |
37.10
|
||||
XiFoam Solver | 43.36 sec | 803.27 |
28.94
|
sec |
27.80
|
|
XiFoam Solver | 32.57 sec | 803.27 |
21.66
|
sec |
37.10
|
|
Options Pricing | Nov 20, 2024, 11:01:24 AM EST |
7.63
|
||||
Monte Carlo | 3.57 sec | 35137.48 |
300880.14
|
options/sec |
8.56
|
|
Black-Scholes | 3.78 sec | 3389.63 |
27853.77
|
Moptions/sec |
8.22
|
|
Binomial | 2.16 sec | 79377.62 |
501514.29
|
options/sec |
6.32
|
|
Poisson | Nov 20, 2024, 11:01:33 AM EST |
19.30
|
||||
Jacobi Rectangular Grid | 10.08 sec | 16.05 |
464.87
|
iterations/sec |
29.00
|
|
Jacobi Rectangular Grid | 10.05 sec | 16.05 |
343.34
|
iterations/sec |
21.40
|
|
Jacobi Square Grid | 10.09 sec | 6.19 |
79.87
|
iterations/sec |
12.90
|
|
Jacobi Square Grid | 10.07 sec | 6.19 |
41.81
|
iterations/sec |
6.75
|
|
Python 3 | Nov 20, 2024, 11:02:14 AM EST |
1.44
|
||||
NumPy Create Matrix | 3.68 sec | 0.36 |
0.69
|
sec |
0.53
|
|
NumPy Add Matrix | 5.42 sec | 4.44 |
4.71
|
sec |
0.94
|
|
NumPy Multiply Matrix | 7.35 sec | 8.06 |
6.62
|
sec |
1.22
|
|
NumPy Invert Matrix | 10.73 sec | 15.53 |
10.00
|
sec |
1.55
|
|
NumPy Sin Matrix | 3.49 sec | 2.67 |
2.79
|
sec |
0.96
|
|
Multi-Matrix | 31.61 sec | 65.50 |
30.93
|
sec |
2.12
|
|
Rodinia CFD | Nov 20, 2024, 11:03:25 AM EST |
4.00
|
||||
Pre-Euler | 33.03 sec | 138.14 |
552.90
|
iterations/sec |
4.00
|
|
Rodinia Life Sciences | Nov 20, 2024, 11:03:58 AM EST |
7.66
|
||||
Heart Wall | 10.27 sec | 0.69 |
5.08
|
fps |
7.37
|
|
HotSpot | 2.77 sec | 8.55 |
1.68
|
sec |
5.10
|
|
LavaMD | 11.50 sec | 0.07 |
0.63
|
iterations/sec |
8.97
|
|
SRAD | 10.24 sec | 47.04 |
479.24
|
iterations/sec |
10.20
|
|
SRMP | Nov 20, 2024, 11:04:34 AM EST |
5.23
|
||||
2D | 3.97 sec | 19.45 |
3.72
|
sec |
5.23
|
|
Viewport Graphics | Nov 20, 2024, 11:04:38 AM EST |
13.70
|
||||
3dsmax | 130.66 sec | 15.96 |
324.27
|
fps |
20.30
|
|
catia | 131.88 sec | 17.57 |
158.87
|
fps |
9.04
|
|
creo | 172.35 sec | 48.42 |
224.42
|
fps |
4.63
|
|
energy | 94.86 sec | 11.48 |
322.52
|
fps |
28.10
|
|
maya | 94.63 sec | 62.09 |
655.39
|
fps |
10.60
|
|
medical | 71.92 sec | 9.63 |
225.15
|
fps |
23.40
|
|
solidworks | 70.62 sec | 42.90 |
646.74
|
fps |
15.10
|
|
WPCstorage | Nov 20, 2024, 11:18:19 AM EST |
1.67
|
||||
3dsmax | 61.78 sec | 3299.42 |
2416.63
|
points |
0.73
|
|
3dsmax | 44.31 sec | 3299.42 |
4939.38
|
points |
1.50
|
|
7zip | 40.20 sec | 431.06 |
526.12
|
points |
1.22
|
|
7zip | 41.22 sec | 431.06 |
1791.79
|
points |
4.16
|
|
ccx | 11.69 sec | 1398.45 |
1362.73
|
points |
0.97
|
|
ccx | 11.57 sec | 1398.45 |
2600.89
|
points |
1.86
|
|
cfd | 12.17 sec | 1921.51 |
1794.72
|
points |
0.93
|
|
cfd | 12.05 sec | 1921.51 |
2854.87
|
points |
1.49
|
|
energy | 18.45 sec | 1547.93 |
1981.45
|
points |
1.28
|
|
energy | 19.11 sec | 1547.93 |
1934.72
|
points |
1.25
|
|
handbrake | 14.37 sec | 1897.99 |
2467.68
|
points |
1.30
|
|
handbrake | 14.45 sec | 1897.99 |
3082.39
|
points |
1.62
|
|
icePack | 58.52 sec | 1543.34 |
1278.40
|
points |
0.83
|
|
icePack | 49.32 sec | 1543.34 |
1869.40
|
points |
1.21
|
|
maya | 74.28 sec | 2037.06 |
1210.17
|
points |
0.59
|
|
maya | 35.23 sec | 2037.06 |
4872.33
|
points |
2.39
|
|
MayaVenice | 30.88 sec | 472.63 |
494.38
|
points |
1.05
|
|
MayaVenice | 23.21 sec | 472.63 |
906.71
|
points |
1.92
|
|
MandE | 17.59 sec | 1625.72 |
1845.93
|
points |
1.14
|
|
MandE | 18.54 sec | 1625.72 |
1800.51
|
points |
1.11
|
|
mcad | 55.34 sec | 2612.50 |
3172.79
|
points |
1.21
|
|
mcad | 45.17 sec | 2612.50 |
5542.11
|
points |
2.12
|
|
mozillaVS | 25.97 sec | 7708.43 |
7639.94
|
points |
0.99
|
|
mozillaVS | 24.90 sec | 7708.43 |
13988.20
|
points |
1.81
|
|
namd | 16.64 sec | 1250.61 |
1094.53
|
points |
0.88
|
|
namd | 15.48 sec | 1250.61 |
1762.75
|
points |
1.41
|
|
proddev | 20.67 sec | 659.82 |
321.81
|
points |
0.49
|
|
proddev | 17.79 sec | 659.82 |
735.07
|
points |
1.11
|
System Configuration Details
MOTHERBOARD
Name: 105EModel: Lenovo ThinkStation P8
Version: 30HH0048US
Manufacturer: LENOVO
Serial Number: LENOVO_MT_30HH_BU_Think_FM_ThinkStation P8
BIOS: LENOVO S0GKT24A
BIOS Version: LENOVO - 1240 (2024-10-31)
PROCESSOR
CPU #1: AMD Ryzen Threadripper PRO 7995WX 96-Cores (2501MHz / 96C / 192T)
MEMORY
P0 CHANNEL D (DIMM 1): Micron Technology MTC40F2046S1RC48BA1 (64.00 GB / 4800 MHz / DDR5)P0 CHANNEL C (DIMM 2): Micron Technology MTC40F2046S1RC48BA1 (64.00 GB / 4800 MHz / DDR5)
P0 CHANNEL B (DIMM 3): Micron Technology MTC40F2046S1RC48BA1 (64.00 GB / 4800 MHz / DDR5)
P0 CHANNEL A (DIMM 4): Micron Technology MTC40F2046S1RC48BA1 (64.00 GB / 4800 MHz / DDR5)
P0 CHANNEL E (DIMM 5): Micron Technology MTC40F2046S1RC48BA1 (64.00 GB / 4800 MHz / DDR5)
P0 CHANNEL F (DIMM 6): Micron Technology MTC40F2046S1RC48BA1 (64.00 GB / 4800 MHz / DDR5)
P0 CHANNEL G (DIMM 7): Micron Technology MTC40F2046S1RC48BA1 (64.00 GB / 4800 MHz / DDR5)
P0 CHANNEL H (DIMM 8): Micron Technology MTC40F2046S1RC48BA1 (64.00 GB / 4800 MHz / DDR5)
Total Memory: 512.00 GB
STORAGE
Disk #1: KXG8AZNV2T04 LA KIOXIA (1907.73 GB - SCSI)Partition 1: GPT: Logical Disk Manager Metadata (0.00 GB)
Partition 2: GPT: Logical Disk Manager Data (1907.71 GB)
Disk #2: WD PC SN810 SDCQNRY-1T00-1201 (953.86 GB - SCSI)
Partition 1: GPT: System (0.25 GB)
Partition 2: GPT: Basic Data (951.65 GB)
Partition 3: GPT: Unknown (1.95 GB)
Disk #3: KXG8AZNV2T04 LA KIOXIA (1907.73 GB - SCSI)
Partition 1: GPT: Logical Disk Manager Metadata (0.00 GB)
Partition 2: GPT: Logical Disk Manager Data (1907.71 GB)
Disk #4: KXG8AZNV2T04 LA KIOXIA (1907.73 GB - SCSI)
Partition 1: GPT: Logical Disk Manager Metadata (0.00 GB)
Partition 2: GPT: Logical Disk Manager Data (1907.71 GB)
Disk #5: KXG8AZNV2T04 LA KIOXIA (1907.73 GB - SCSI)
Partition 1: GPT: Logical Disk Manager Metadata (0.00 GB)
Partition 2: GPT: Logical Disk Manager Data (1907.71 GB)
Available Volumes
C: (Windows): NTFS (856.67 GB of 951.65 GB Available)
D: (Data): NTFS (7630.51 GB of 7630.85 GB Available)
NETWORK
Adapter #1: Realtek PCIe GbE Family ControllerType: Ethernet 802.3 | MAC: 38:7C:76:49:0F:2A | Speed: 1000.00 Mbit
Adapter #2: Marvell AQtion 10Gbit Network Adapter
Type: Ethernet 802.3 | MAC: 38:7C:76:49:0F:2B | Speed: Not Connected
GRAPHICS
Adapter #1: NVIDIA RTX 6000 Ada GenerationVideo Memory: 47.99 GB
Current Resolution: 3840x2160 @ 59 Hz (32-bit Color)
Driver Version: 31.0.15.5324 (2024-10-07)
DISPLAY
Display #1: LENOVO GROUP LIMITED LEN P27u-10 27.2" (3840x2160)Model: 61B0 | S/N: 1194350384 | Connector: External DisplayPort (Digital)
Windows Screens
Screen 1: 2560x1440 @ 32 bpp
OPERATING SYSTEM
Name: Microsoft Windows 11 Pro 64-bitVersion: 10.0.26100.2314 (Release 2009)
Installation Date: 2024-10-23
Free Memory: 494.71 GB (Physical) | 508.71 GB (Virtual) | 16.00 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Best Performance
Virtualization Based Security (VBS): Running
Active Power Plan: High performance (8c5e7fda-e8bf-4a96-9a85-a6e23a8c635c)
Active Power Slider Setting: Best Performance (ded574b5-45a0-4f42-8737-46345c09c238)