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 | Dell Inc. |
Model | Precision 7875 Tower |
CPU | AMD Ryzen Threadripper PRO 7995WX 96-Cores |
Memory | 128.00 GB @ 5200 MHz |
GPU | AMD Radeon PRO W7900 |
Display | DELL P2719HC 27.2" (1920x1080) |
Storage | Drive 1: Micron 2450 NVMe 256GB 238.47 GB - SCSI Drive 2: WDC WD10EZEX-75WN4A1 931.51 GB - IDE |
OS | Microsoft Windows 11 Pro (22616) |
Submission Details
Result Date | Tue Nov 19 2024 13:24:42 GMT-0800 (Pacific Standard Time) |
Submitter Company | |
Submitter Name | |
Submitter Comments |
Industry Vertical Scores
AI & Machine Learning |
3.21 |
Energy |
5.37 |
Financial Services |
7.19 |
Life Sciences |
4.64 |
Media & Entertainment |
3.73 |
Product Design |
3.04 |
Productivity & Development |
1.45 |
Hardware Subsystem Scores
CPU | 4.07 |
Accelerator | 6.18 |
Graphics | 11.78 |
Storage | 0.41 |
Workload | SPEC Ratio |
---|---|
7-Zip | 3.93 |
Autodesk Inventor | 0.97 |
Blender | 5.69 |
Convolution | 6.85 |
Data Science | 2.10 |
HandBrake | 2.65 |
Hidden Line Removal | 2.13 |
LAMMPS | 4.74 |
LLVM Clang | 5.24 |
LuxCoreRender | 6.32 |
MFEM | 4.54 |
NAMD | 5.37 |
Octave | 1.13 |
ONNX Inference | 4.92 |
OpenFOAM | 34.80 |
Options Pricing | 7.19 |
Poisson | 13.90 |
Python 3 | 1.53 |
Rodinia CFD | 3.43 |
Rodinia Life Sciences | 7.53 |
SRMP | 4.05 |
Viewport Graphics | 11.80 |
WPCstorage | 0.41 |
Industry Vertical Scores
AI & Machine Learning | 3.21 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Data Science |
|
|||
Pandas | 131.99 |
123.27
|
sec |
1.07
|
Scikit-learn | 449.17 |
79.93
|
sec |
5.62
|
XGBoost | 91.50 |
59.38
|
sec |
1.54
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
24.76
|
ms |
2.57
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
85.51
|
inferences/sec |
4.67
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
14.17
|
ms |
1.58
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
241.61
|
inferences/sec |
5.18
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
38.26
|
ms |
1.53
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
123.23
|
inferences/sec |
5.90
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
25.84
|
ms |
0.83
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
136.13
|
inferences/sec |
2.43
|
GPU ResNet50-FP32-batch32 Throughput | 3.92 |
61.65
|
inferences/sec |
15.70
|
GPU ResNet50-INT8-batch32 Throughput | 1.92 |
84.15
|
inferences/sec |
43.80
|
GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
61.08
|
inferences/sec |
9.27
|
GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
33.74
|
inferences/sec |
17.60
|
Industry Vertical Scores
Energy | 5.37 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Convolution |
|
|||
20K/100 | 0.09 |
0.62
|
iterations/sec |
6.85
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
389.90
|
iterations/sec |
24.30
|
Jacobi Square Grid | 6.19 |
49.19
|
iterations/sec |
7.95
|
SRMP |
|
|||
2D | 19.45 |
4.80
|
sec |
4.05
|
Viewport Graphics |
|
|||
energy | 11.48 |
227.54
|
fps |
19.80
|
WPCstorage |
|
|||
energy | 1547.93 |
908.23
|
points |
0.59
|
Industry Vertical Scores
Financial Services | 7.19 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
280363.28
|
options/sec |
7.98
|
Black-Scholes | 3389.63 |
26469.12
|
Moptions/sec |
7.81
|
Binomial | 79377.62 |
473481.09
|
options/sec |
5.96
|
Industry Vertical Scores
Life Sciences | 4.64 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
LAMMPS |
|
|||
LJ | 705.82 |
3912.77
|
tau/day |
5.54
|
CHAIN | 1190.35 |
4950.29
|
tau/day |
4.16
|
EAM | 0.63 |
4.30
|
ns/day |
6.82
|
CHUTE | 38.25 |
113.43
|
tau/day |
2.97
|
RHODO | 0.26 |
1.32
|
ns/day |
5.10
|
NAMD |
|
|||
apoa1 | 45.38 |
8.41
|
ms/step |
5.40
|
f1atpase | 130.50 |
24.57
|
ms/step |
5.31
|
stmv | 448.57 |
83.13
|
ms/step |
5.40
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
4.70
|
fps |
6.82
|
HotSpot | 8.55 |
1.56
|
sec |
5.48
|
LavaMD | 0.07 |
0.58
|
iterations/sec |
8.27
|
SRAD | 47.04 |
487.06
|
iterations/sec |
10.40
|
Viewport Graphics |
|
|||
medical | 9.63 |
185.31
|
fps |
19.20
|
WPCstorage |
|
|||
namd | 1250.61 |
734.49
|
points |
0.59
|
Industry Vertical Scores
Media & Entertainment | 3.73 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Blender |
|
|||
Classroom | 281.72 |
13.78
|
sec |
20.40
|
BMW27 | 43.82 |
7.04
|
sec |
6.22
|
BMW1M | 17.74 |
3.19
|
sec |
5.57
|
Island | 29.68 |
20.03
|
sec |
1.48
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
93.95
|
sec |
2.08
|
x265 4K to 1080p | 38.36 |
18.54
|
sec |
2.07
|
x265 4K to 4K | 107.73 |
41.11
|
sec |
2.62
|
x264 1080p to 1080p | 49.98 |
7.13
|
sec |
7.01
|
GPU H.265 4K to 4K | 169.65 |
156.48
|
fps |
0.92
|
GPU H.265 4K to 1080p | 128.84 |
609.64
|
fps |
4.73
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
17.93
|
Msamples/sec |
7.29
|
Food | 1.84 |
13.65
|
Msamples/sec |
7.42
|
Danish Mood | 2.29 |
9.63
|
Msamples/sec |
4.21
|
Procedural Leaves | 1.10 |
7.70
|
Msamples/sec |
7.00
|
Viewport Graphics |
|
|||
3dsmax | 15.96 |
274.31
|
fps |
17.20
|
maya | 62.09 |
696.51
|
fps |
11.20
|
WPCstorage |
|
|||
3dsmax | 3299.42 |
1815.22
|
points |
0.55
|
handbrake | 1897.99 |
1097.46
|
points |
0.58
|
maya | 2037.06 |
529.82
|
points |
0.26
|
MayaVenice | 472.63 |
383.80
|
points |
0.81
|
MandE | 1625.72 |
1153.28
|
points |
0.71
|
Industry Vertical Scores
Product Design | 3.04 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
4973.00
|
ms |
0.85
|
Create/Update Files | 4973.68 |
5276.00
|
ms |
0.94
|
Rebuild | 10590.28 |
10777.00
|
ms |
0.98
|
Render Style/Material | 628.78 |
573.00
|
ms |
1.10
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
51.73
|
fps |
2.13
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
50.13
|
sec |
4.54
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
23.10
|
sec |
34.80
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
474.37
|
iterations/sec |
3.43
|
Viewport Graphics |
|
|||
catia | 17.57 |
111.42
|
fps |
6.34
|
creo | 48.42 |
232.84
|
fps |
4.81
|
solidworks | 42.90 |
606.76
|
fps |
14.10
|
WPCstorage |
|
|||
ccx | 1398.45 |
80.27
|
points |
0.06
|
cfd | 1921.51 |
838.76
|
points |
0.44
|
icePack | 1543.34 |
848.14
|
points |
0.55
|
mcad | 2612.50 |
1356.98
|
points |
0.52
|
proddev | 659.82 |
172.96
|
points |
0.26
|
Industry Vertical Scores
Productivity & Development | 1.45 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
18.10
|
sec |
0.89
|
Compression | 254.57 |
34.15
|
sec |
7.45
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
107.34
|
sec |
5.24
|
Octave |
|
|||
obench | 1.20 |
1.05
|
sec/operation |
1.14
|
benchmark2 | 0.11 |
0.10
|
sec/operation |
1.13
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.37
|
sec |
0.98
|
NumPy Add Matrix | 4.44 |
4.89
|
sec |
0.91
|
NumPy Multiply Matrix | 8.06 |
6.55
|
sec |
1.23
|
NumPy Invert Matrix | 15.53 |
10.41
|
sec |
1.49
|
NumPy Sin Matrix | 2.67 |
2.83
|
sec |
0.94
|
Multi-Matrix | 65.50 |
30.49
|
sec |
2.15
|
WPCstorage |
|
|||
7zip | 431.06 |
154.91
|
points |
0.36
|
mozillaVS | 7708.43 |
2478.46
|
points |
0.32
|
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
6.18
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
HandBrake |
|
|||
GPU H.265 4K to 4K | 169.65 |
156.48
|
fps |
0.92
|
GPU H.265 4K to 1080p | 128.84 |
609.64
|
fps |
4.73
|
ONNX Inference |
|
|||
GPU ResNet50-FP32-batch32 Throughput | 3.92 |
61.65
|
inferences/sec |
15.70
|
GPU ResNet50-INT8-batch32 Throughput | 1.92 |
84.15
|
inferences/sec |
43.80
|
GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
61.08
|
inferences/sec |
9.27
|
GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
33.74
|
inferences/sec |
17.60
|
4.07
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
18.10
|
sec |
0.89
|
Compression | 254.57 |
34.15
|
sec |
7.45
|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
4973.00
|
ms |
0.85
|
Create/Update Files | 4973.68 |
5276.00
|
ms |
0.94
|
Rebuild | 10590.28 |
10777.00
|
ms |
0.98
|
Render Style/Material | 628.78 |
573.00
|
ms |
1.10
|
Blender |
|
|||
Classroom | 281.72 |
13.78
|
sec |
20.40
|
BMW27 | 43.82 |
7.04
|
sec |
6.22
|
BMW1M | 17.74 |
3.19
|
sec |
5.57
|
Island | 29.68 |
20.03
|
sec |
1.48
|
Convolution |
|
|||
20K/100 | 0.09 |
0.62
|
iterations/sec |
6.85
|
Data Science |
|
|||
Pandas | 131.99 |
123.27
|
sec |
1.07
|
Scikit-learn | 449.17 |
79.93
|
sec |
5.62
|
XGBoost | 91.50 |
59.38
|
sec |
1.54
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
93.95
|
sec |
2.08
|
x265 4K to 1080p | 38.36 |
18.54
|
sec |
2.07
|
x265 4K to 4K | 107.73 |
41.11
|
sec |
2.62
|
x264 1080p to 1080p | 49.98 |
7.13
|
sec |
7.01
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
51.73
|
fps |
2.13
|
LAMMPS |
|
|||
LJ | 705.82 |
3912.77
|
tau/day |
5.54
|
CHAIN | 1190.35 |
4950.29
|
tau/day |
4.16
|
EAM | 0.63 |
4.30
|
ns/day |
6.82
|
CHUTE | 38.25 |
113.43
|
tau/day |
2.97
|
RHODO | 0.26 |
1.32
|
ns/day |
5.10
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
107.34
|
sec |
5.24
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
17.93
|
Msamples/sec |
7.29
|
Food | 1.84 |
13.65
|
Msamples/sec |
7.42
|
Danish Mood | 2.29 |
9.63
|
Msamples/sec |
4.21
|
Procedural Leaves | 1.10 |
7.70
|
Msamples/sec |
7.00
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
50.13
|
sec |
4.54
|
NAMD |
|
|||
apoa1 | 45.38 |
8.41
|
ms/step |
5.40
|
f1atpase | 130.50 |
24.57
|
ms/step |
5.31
|
stmv | 448.57 |
83.13
|
ms/step |
5.40
|
Octave |
|
|||
obench | 1.20 |
1.05
|
sec/operation |
1.14
|
benchmark2 | 0.11 |
0.10
|
sec/operation |
1.13
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
24.76
|
ms |
2.57
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
85.51
|
inferences/sec |
4.67
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
14.17
|
ms |
1.58
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
241.61
|
inferences/sec |
5.18
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
38.26
|
ms |
1.53
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
123.23
|
inferences/sec |
5.90
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
25.84
|
ms |
0.83
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
136.13
|
inferences/sec |
2.43
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
23.10
|
sec |
34.80
|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
280363.28
|
options/sec |
7.98
|
Black-Scholes | 3389.63 |
26469.12
|
Moptions/sec |
7.81
|
Binomial | 79377.62 |
473481.09
|
options/sec |
5.96
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
389.90
|
iterations/sec |
24.30
|
Jacobi Square Grid | 6.19 |
49.19
|
iterations/sec |
7.95
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.37
|
sec |
0.98
|
NumPy Add Matrix | 4.44 |
4.89
|
sec |
0.91
|
NumPy Multiply Matrix | 8.06 |
6.55
|
sec |
1.23
|
NumPy Invert Matrix | 15.53 |
10.41
|
sec |
1.49
|
NumPy Sin Matrix | 2.67 |
2.83
|
sec |
0.94
|
Multi-Matrix | 65.50 |
30.49
|
sec |
2.15
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
474.37
|
iterations/sec |
3.43
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
4.70
|
fps |
6.82
|
HotSpot | 8.55 |
1.56
|
sec |
5.48
|
LavaMD | 0.07 |
0.58
|
iterations/sec |
8.27
|
SRAD | 47.04 |
487.06
|
iterations/sec |
10.40
|
SRMP |
|
|||
2D | 19.45 |
4.80
|
sec |
4.05
|
11.78
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Viewport Graphics |
|
|||
3dsmax | 15.96 |
274.31
|
fps |
17.20
|
catia | 17.57 |
111.42
|
fps |
6.34
|
creo | 48.42 |
232.84
|
fps |
4.81
|
energy | 11.48 |
227.54
|
fps |
19.80
|
maya | 62.09 |
696.51
|
fps |
11.20
|
medical | 9.63 |
185.31
|
fps |
19.20
|
solidworks | 42.90 |
606.76
|
fps |
14.10
|
0.41
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
WPCstorage |
|
|||
3dsmax | 3299.42 |
1815.22
|
points |
0.55
|
7zip | 431.06 |
154.91
|
points |
0.36
|
ccx | 1398.45 |
80.27
|
points |
0.06
|
cfd | 1921.51 |
838.76
|
points |
0.44
|
energy | 1547.93 |
908.23
|
points |
0.59
|
handbrake | 1897.99 |
1097.46
|
points |
0.58
|
icePack | 1543.34 |
848.14
|
points |
0.55
|
maya | 2037.06 |
529.82
|
points |
0.26
|
MayaVenice | 472.63 |
383.80
|
points |
0.81
|
MandE | 1625.72 |
1153.28
|
points |
0.71
|
mcad | 2612.50 |
1356.98
|
points |
0.52
|
mozillaVS | 7708.43 |
2478.46
|
points |
0.32
|
namd | 1250.61 |
734.49
|
points |
0.59
|
proddev | 659.82 |
172.96
|
points |
0.26
|
Workload Scores
Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|---|---|
7-Zip | Nov 19, 2024, 1:24:42 PM PST |
3.93
|
||||
Decompression | 18.10 sec | 16.04 |
18.10
|
sec |
0.89
|
|
Compression | 34.15 sec | 254.57 |
34.15
|
sec |
7.45
|
|
Autodesk Inventor | Nov 19, 2024, 1:25:39 PM PST |
0.97
|
||||
Open Document | 5.18 sec | 4253.73 |
4973.00
|
ms |
0.85
|
|
Create/Update Files | 7.06 sec | 4973.68 |
5276.00
|
ms |
0.94
|
|
Rebuild | 10.99 sec | 10590.28 |
10777.00
|
ms |
0.98
|
|
Render Style/Material | 0.79 sec | 628.78 |
573.00
|
ms |
1.10
|
|
Blender | Nov 19, 2024, 1:26:29 PM PST |
5.69
|
||||
Classroom | 13.78 sec | 281.72 |
13.78
|
sec |
20.40
|
|
BMW27 | 7.04 sec | 43.82 |
7.04
|
sec |
6.22
|
|
BMW1M | 3.19 sec | 17.74 |
3.19
|
sec |
5.57
|
|
Island | 20.03 sec | 29.68 |
20.03
|
sec |
1.48
|
|
Convolution | Nov 19, 2024, 1:27:18 PM PST |
6.85
|
||||
20K/100 | 32.77 sec | 0.09 |
0.62
|
iterations/sec |
6.85
|
|
Data Science | Nov 19, 2024, 1:27:51 PM PST |
2.10
|
||||
Pandas | 128.56 sec | 131.99 |
123.27
|
sec |
1.07
|
|
Scikit-learn | 84.21 sec | 449.17 |
79.93
|
sec |
5.62
|
|
XGBoost | 81.52 sec | 91.50 |
59.38
|
sec |
1.54
|
|
HandBrake | Nov 19, 2024, 1:33:02 PM PST |
2.65
|
||||
SVT-AV1 8K to 4K | 93.95 sec | 195.16 |
93.95
|
sec |
2.08
|
|
x265 4K to 1080p | 20.02 sec | 38.36 |
18.54
|
sec |
2.07
|
|
x265 4K to 4K | 42.65 sec | 107.73 |
41.11
|
sec |
2.62
|
|
x264 1080p to 1080p | 7.13 sec | 49.98 |
7.13
|
sec |
7.01
|
|
GPU H.265 4K to 4K | 43.78 sec | 169.65 |
156.48
|
fps |
0.92
|
|
GPU H.265 4K to 1080p | 193.55 sec | 128.84 |
609.64
|
fps |
4.73
|
|
Hidden Line Removal | Nov 19, 2024, 1:39:49 PM PST |
2.13
|
||||
Palatov | 17.23 sec | 24.29 |
48.09
|
fps |
1.98
|
|
Palatov | 17.34 sec | 24.29 |
51.73
|
fps |
2.13
|
|
LAMMPS | Nov 19, 2024, 1:40:25 PM PST |
4.74
|
||||
LJ | 5.89 sec | 705.82 |
3912.77
|
tau/day |
5.54
|
|
CHAIN | 11.58 sec | 1190.35 |
4950.29
|
tau/day |
4.16
|
|
EAM | 4.62 sec | 0.63 |
4.30
|
ns/day |
6.82
|
|
CHUTE | 5.76 sec | 38.25 |
113.43
|
tau/day |
2.97
|
|
RHODO | 5.86 sec | 0.26 |
1.32
|
ns/day |
5.10
|
|
LLVM Clang | Nov 19, 2024, 1:40:59 PM PST |
5.24
|
||||
PyTorch | 132.52 sec | 562.76 |
107.34
|
sec |
5.24
|
|
LuxCoreRender | Nov 19, 2024, 1:44:23 PM PST |
6.32
|
||||
DLSC | 5.07 sec | 2.46 |
17.93
|
Msamples/sec |
7.29
|
|
Food | 9.34 sec | 1.84 |
13.65
|
Msamples/sec |
7.42
|
|
Danish Mood | 17.62 sec | 2.29 |
9.63
|
Msamples/sec |
4.21
|
|
Procedural Leaves | 8.40 sec | 1.10 |
7.70
|
Msamples/sec |
7.00
|
|
MFEM | Nov 19, 2024, 1:45:03 PM PST |
4.54
|
||||
Dynamic AMR | 50.13 sec | 227.39 |
50.13
|
sec |
4.54
|
|
NAMD | Nov 19, 2024, 1:45:54 PM PST |
5.37
|
||||
apoa1 | 14.00 sec | 45.38 |
8.41
|
ms/step |
5.40
|
|
f1atpase | 20.17 sec | 130.50 |
24.57
|
ms/step |
5.31
|
|
stmv | 38.50 sec | 448.57 |
83.13
|
ms/step |
5.40
|
|
Octave | Nov 19, 2024, 1:47:06 PM PST |
1.13
|
||||
obench | 43.83 sec | 1.20 |
1.05
|
sec/operation |
1.14
|
|
benchmark2 | 11.76 sec | 0.11 |
0.10
|
sec/operation |
1.13
|
|
ONNX Inference | Nov 19, 2024, 1:48:14 PM PST |
4.92
|
||||
CPU ResNet50-FP32-batch8 Latency | 20.28 sec | 63.72 |
24.76
|
ms |
2.57
|
|
CPU ResNet50-FP32-batch8 Throughput | 22.69 sec | 18.33 |
65.91
|
inferences/sec |
3.60
|
|
CPU ResNet50-FP32-batch8 Throughput | 22.78 sec | 18.33 |
85.51
|
inferences/sec |
4.67
|
|
CPU ResNet50-INT8-batch8 Latency | 20.16 sec | 22.37 |
14.17
|
ms |
1.58
|
|
CPU ResNet50-INT8-batch8 Throughput | 21.00 sec | 46.62 |
196.30
|
inferences/sec |
4.21
|
|
CPU ResNet50-INT8-batch8 Throughput | 20.96 sec | 46.62 |
241.61
|
inferences/sec |
5.18
|
|
CPU SuperResolution-FP32-batch8 Latency | 20.15 sec | 58.42 |
38.26
|
ms |
1.53
|
|
CPU SuperResolution-FP32-batch8 Throughput | 21.81 sec | 20.87 |
123.23
|
inferences/sec |
5.90
|
|
CPU SuperResolution-FP32-batch8 Throughput | 22.74 sec | 20.87 |
71.21
|
inferences/sec |
3.41
|
|
CPU SuperResolution-INT8-batch8 Latency | 20.15 sec | 21.34 |
25.84
|
ms |
0.83
|
|
CPU SuperResolution-INT8-batch8 Throughput | 21.38 sec | 55.92 |
136.13
|
inferences/sec |
2.43
|
|
CPU SuperResolution-INT8-batch8 Throughput | 21.48 sec | 55.92 |
131.56
|
inferences/sec |
2.35
|
|
GPU ResNet50-FP32-batch32 Throughput | 20.40 sec | 3.92 |
61.65
|
inferences/sec |
15.70
|
|
GPU ResNet50-INT8-batch32 Throughput | 20.57 sec | 1.92 |
84.15
|
inferences/sec |
43.80
|
|
GPU SuperResolution-FP32-batch32 Throughput | 21.52 sec | 6.59 |
61.08
|
inferences/sec |
9.27
|
|
GPU SuperResolution-INT8-batch32 Throughput | 20.89 sec | 1.92 |
33.74
|
inferences/sec |
17.60
|
|
OpenFOAM | Nov 19, 2024, 1:53:54 PM PST |
34.80
|
||||
XiFoam Solver | 46.41 sec | 803.27 |
28.73
|
sec |
28.00
|
|
XiFoam Solver | 35.24 sec | 803.27 |
23.10
|
sec |
34.80
|
|
Options Pricing | Nov 19, 2024, 1:55:20 PM PST |
7.19
|
||||
Monte Carlo | 3.83 sec | 35137.48 |
280363.28
|
options/sec |
7.98
|
|
Black-Scholes | 4.04 sec | 3389.63 |
26469.12
|
Moptions/sec |
7.81
|
|
Binomial | 2.29 sec | 79377.62 |
473481.09
|
options/sec |
5.96
|
|
Poisson | Nov 19, 2024, 1:55:30 PM PST |
13.90
|
||||
Jacobi Rectangular Grid | 10.11 sec | 16.05 |
389.90
|
iterations/sec |
24.30
|
|
Jacobi Rectangular Grid | 10.06 sec | 16.05 |
331.31
|
iterations/sec |
20.60
|
|
Jacobi Square Grid | 10.11 sec | 6.19 |
49.19
|
iterations/sec |
7.95
|
|
Jacobi Square Grid | 10.10 sec | 6.19 |
24.12
|
iterations/sec |
3.90
|
|
Python 3 | Nov 19, 2024, 1:56:10 PM PST |
1.53
|
||||
NumPy Create Matrix | 1.31 sec | 0.36 |
0.37
|
sec |
0.98
|
|
NumPy Add Matrix | 5.60 sec | 4.44 |
4.89
|
sec |
0.91
|
|
NumPy Multiply Matrix | 7.28 sec | 8.06 |
6.55
|
sec |
1.23
|
|
NumPy Invert Matrix | 11.15 sec | 15.53 |
10.41
|
sec |
1.49
|
|
NumPy Sin Matrix | 3.56 sec | 2.67 |
2.83
|
sec |
0.94
|
|
Multi-Matrix | 31.17 sec | 65.50 |
30.49
|
sec |
2.15
|
|
Rodinia CFD | Nov 19, 2024, 1:57:20 PM PST |
3.43
|
||||
Pre-Euler | 33.28 sec | 138.14 |
474.37
|
iterations/sec |
3.43
|
|
Rodinia Life Sciences | Nov 19, 2024, 1:57:54 PM PST |
7.53
|
||||
Heart Wall | 10.43 sec | 0.69 |
4.70
|
fps |
6.82
|
|
HotSpot | 2.80 sec | 8.55 |
1.56
|
sec |
5.48
|
|
LavaMD | 10.78 sec | 0.07 |
0.58
|
iterations/sec |
8.27
|
|
SRAD | 10.28 sec | 47.04 |
487.06
|
iterations/sec |
10.40
|
|
SRMP | Nov 19, 2024, 1:58:28 PM PST |
4.05
|
||||
2D | 5.20 sec | 19.45 |
4.80
|
sec |
4.05
|
|
Viewport Graphics | Nov 19, 2024, 1:58:34 PM PST |
11.80
|
||||
3dsmax | 120.91 sec | 15.96 |
274.31
|
fps |
17.20
|
|
catia | 116.52 sec | 17.57 |
111.42
|
fps |
6.34
|
|
creo | 121.06 sec | 48.42 |
232.84
|
fps |
4.81
|
|
energy | 100.57 sec | 11.48 |
227.54
|
fps |
19.80
|
|
maya | 88.44 sec | 62.09 |
696.51
|
fps |
11.20
|
|
medical | 81.15 sec | 9.63 |
185.31
|
fps |
19.20
|
|
solidworks | 77.97 sec | 42.90 |
606.76
|
fps |
14.10
|
|
WPCstorage | Nov 19, 2024, 2:11:45 PM PST |
0.41
|
||||
3dsmax | 90.83 sec | 3299.42 |
1815.22
|
points |
0.55
|
|
7zip | 146.79 sec | 431.06 |
154.91
|
points |
0.36
|
|
ccx | 16.90 sec | 1398.45 |
80.27
|
points |
0.06
|
|
cfd | 14.35 sec | 1921.51 |
838.76
|
points |
0.44
|
|
energy | 26.68 sec | 1547.93 |
908.23
|
points |
0.59
|
|
handbrake | 18.73 sec | 1897.99 |
1097.46
|
points |
0.58
|
|
icePack | 82.72 sec | 1543.34 |
848.14
|
points |
0.55
|
|
maya | 151.71 sec | 2037.06 |
529.82
|
points |
0.26
|
|
MayaVenice | 38.98 sec | 472.63 |
383.80
|
points |
0.81
|
|
MandE | 26.45 sec | 1625.72 |
1153.28
|
points |
0.71
|
|
mcad | 106.34 sec | 2612.50 |
1356.98
|
points |
0.52
|
|
mozillaVS | 44.56 sec | 7708.43 |
2478.46
|
points |
0.32
|
|
namd | 23.00 sec | 1250.61 |
734.49
|
points |
0.59
|
|
proddev | 27.20 sec | 659.82 |
172.96
|
points |
0.26
|
System Configuration Details
MOTHERBOARD
Name: 00RP38Model: Precision 7875 Tower
Version: X02
Manufacturer: Dell Inc.
Serial Number: /7875T24/CNFCW00362006T/
BIOS: Dell Inc. 1.0.0
BIOS Version: DELL - 0 (2023-09-08)
PROCESSOR
CPU #1: AMD Ryzen Threadripper PRO 7995WX 96-Cores (2501MHz / 96C / 192T)
MEMORY
P0 CHANNEL A (DIMM 1): 80CE869D80CE M321R4GA3PB0-CWMXH (32.00 GB / 5200 MHz / DDR5)P0 CHANNEL C (DIMM 3): 80CE869D80CE M321R4GA3PB0-CWMXH (32.00 GB / 5200 MHz / DDR5)
P0 CHANNEL E (DIMM 2): 80CE869D80CE M321R4GA3PB0-CWMXH (32.00 GB / 5200 MHz / DDR5)
P0 CHANNEL G (DIMM 4): 80CE869D80CE M321R4GA3PB0-CWMXH (32.00 GB / 5200 MHz / DDR5)
Total Memory: 128.00 GB
STORAGE
Disk #1: Micron 2450 NVMe 256GB (238.47 GB - SCSI)Partition 1: GPT: System (0.10 GB)
Partition 2: GPT: Basic Data (237.82 GB)
Partition 3: GPT: Unknown (0.54 GB)
Disk #2: WDC WD10EZEX-75WN4A1 (931.51 GB - IDE)
Partition 1: GPT: Basic Data (931.50 GB)
Available Volumes
C: (): NTFS (103.71 GB of 237.82 GB Available)
D: (): (0.00 GB of 0.00 GB Available)
E: (New Volume): NTFS (931.36 GB of 931.50 GB Available)
NETWORK
Adapter #1: Realtek PCIe GbE Family ControllerType: Ethernet 802.3 | MAC: 00:BE:43:BE:2F:44 | Speed: Not Connected
Adapter #2: Marvell AQtion 10Gbit Network Adapter #2
Type: Ethernet 802.3 | MAC: 00:BE:43:BE:2F:45 | Speed: Not Connected
GRAPHICS
Adapter #1: AMD Radeon PRO W7900Video Memory: 47.98 GB
Current Resolution: 1920x1080 @ 60 Hz (32-bit Color)
Driver Version: 32.0.11020.16 (2024-06-13)
DISPLAY
Display #1: DELL INC. DELL P2719HC 27.2" (1920x1080)Model: 4187 | S/N: FNSF5N2 | Connector: External DisplayPort (Digital)
Windows Screens
Screen 1: 1920x1080 @ 32 bpp
OPERATING SYSTEM
Name: Microsoft Windows 11 Pro 64-bitVersion: 10.0.22616.1 (Release 2009)
Installation Date: 2023-06-28
Free Memory: 119.93 GB (Physical) | 125.24 GB (Virtual) | 8.00 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Let Windows Choose
Virtualization Based Security (VBS): Not Running
Active Power Plan: High performance (8c5e7fda-e8bf-4a96-9a85-a6e23a8c635c)