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 7960 Tower |
CPU | Intel(R) Xeon(R) w9-3495X |
Memory | 256.00 GB @ 4400 MHz |
GPU | NVIDIA RTX 6000 Ada Generation |
Display | DELL P2815Q 27.8" (3840x2160) |
Storage | Drive 1: ST8000NM023B-2TJ133 7452.03 GB - SCSI Drive 2: NVMe PC801 NVMe SK hy 1907.73 GB - SCSI |
OS | Microsoft Windows 11 Pro for Workstations (22631) |
Submission Details
Result Date | Tue Nov 19 2024 17:29:36 GMT-0600 (Central Standard Time) |
Submitter Company | |
Submitter Name | |
Submitter Comments |
Industry Vertical Scores
AI & Machine Learning |
3.49 |
Energy |
4.53 |
Financial Services |
3.80 |
Life Sciences |
4.02 |
Media & Entertainment |
3.13 |
Product Design |
2.72 |
Productivity & Development |
1.36 |
Hardware Subsystem Scores
CPU | 2.94 |
Accelerator | 6.21 |
Graphics | 11.75 |
Storage | 0.74 |
Workload | SPEC Ratio |
---|---|
7-Zip | 3.53 |
Autodesk Inventor | 0.82 |
Blender | 3.56 |
Convolution | 4.56 |
Data Science | 1.90 |
HandBrake | 2.04 |
Hidden Line Removal | 1.36 |
LAMMPS | 4.42 |
LLVM Clang | 2.50 |
LuxCoreRender | 3.73 |
MFEM | 2.89 |
NAMD | 3.49 |
Octave | 0.90 |
ONNX Inference | 6.41 |
OpenFOAM | 22.70 |
Options Pricing | 3.80 |
Poisson | 6.83 |
Python 3 | 1.17 |
Rodinia CFD | 3.74 |
Rodinia Life Sciences | 4.35 |
SRMP | 2.97 |
Viewport Graphics | 11.80 |
WPCstorage | 0.74 |
Industry Vertical Scores
AI & Machine Learning | 3.49 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Data Science |
|
|||
Pandas | 131.99 |
134.76
|
sec |
0.98
|
Scikit-learn | 449.17 |
101.84
|
sec |
4.41
|
XGBoost | 91.50 |
57.66
|
sec |
1.59
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
26.77
|
ms |
2.38
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
92.12
|
inferences/sec |
5.03
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
8.43
|
ms |
2.65
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
256.90
|
inferences/sec |
5.51
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
22.04
|
ms |
2.65
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
129.78
|
inferences/sec |
6.22
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
13.91
|
ms |
1.53
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
264.75
|
inferences/sec |
4.73
|
GPU ResNet50-FP32-batch32 Throughput | 3.92 |
86.79
|
inferences/sec |
22.10
|
GPU ResNet50-INT8-batch32 Throughput | 1.92 |
147.05
|
inferences/sec |
76.60
|
GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
41.05
|
inferences/sec |
6.23
|
GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
42.22
|
inferences/sec |
22.00
|
Industry Vertical Scores
Energy | 4.53 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Convolution |
|
|||
20K/100 | 0.09 |
0.41
|
iterations/sec |
4.56
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
152.79
|
iterations/sec |
9.52
|
Jacobi Square Grid | 6.19 |
30.36
|
iterations/sec |
4.90
|
SRMP |
|
|||
2D | 19.45 |
6.54
|
sec |
2.97
|
Viewport Graphics |
|
|||
energy | 11.48 |
316.66
|
fps |
27.60
|
WPCstorage |
|
|||
energy | 1547.93 |
1156.73
|
points |
0.75
|
Industry Vertical Scores
Financial Services | 3.80 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
154557.44
|
options/sec |
4.40
|
Black-Scholes | 3389.63 |
13535.91
|
Moptions/sec |
3.99
|
Binomial | 79377.62 |
248557.72
|
options/sec |
3.13
|
Industry Vertical Scores
Life Sciences | 4.02 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
LAMMPS |
|
|||
LJ | 705.82 |
3127.97
|
tau/day |
4.43
|
CHAIN | 1190.35 |
6510.28
|
tau/day |
5.47
|
EAM | 0.63 |
2.86
|
ns/day |
4.55
|
CHUTE | 38.25 |
167.87
|
tau/day |
4.39
|
RHODO | 0.26 |
0.91
|
ns/day |
3.50
|
NAMD |
|
|||
apoa1 | 45.38 |
12.74
|
ms/step |
3.56
|
f1atpase | 130.50 |
40.08
|
ms/step |
3.26
|
stmv | 448.57 |
123.00
|
ms/step |
3.65
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
3.60
|
fps |
5.21
|
HotSpot | 8.55 |
2.00
|
sec |
4.28
|
LavaMD | 0.07 |
0.28
|
iterations/sec |
4.04
|
SRAD | 47.04 |
186.21
|
iterations/sec |
3.96
|
Viewport Graphics |
|
|||
medical | 9.63 |
211.01
|
fps |
21.90
|
WPCstorage |
|
|||
namd | 1250.61 |
896.89
|
points |
0.72
|
Industry Vertical Scores
Media & Entertainment | 3.13 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Blender |
|
|||
Classroom | 281.72 |
23.97
|
sec |
11.80
|
BMW27 | 43.82 |
12.20
|
sec |
3.59
|
BMW1M | 17.74 |
5.59
|
sec |
3.17
|
Island | 29.68 |
25.05
|
sec |
1.19
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
138.10
|
sec |
1.41
|
x265 4K to 1080p | 38.36 |
26.12
|
sec |
1.47
|
x265 4K to 4K | 107.73 |
49.75
|
sec |
2.17
|
x264 1080p to 1080p | 49.98 |
9.68
|
sec |
5.17
|
GPU H.265 4K to 4K | 169.65 |
137.96
|
fps |
0.81
|
GPU H.265 4K to 1080p | 128.84 |
489.78
|
fps |
3.80
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
10.12
|
Msamples/sec |
4.11
|
Food | 1.84 |
7.50
|
Msamples/sec |
4.08
|
Danish Mood | 2.29 |
7.02
|
Msamples/sec |
3.07
|
Procedural Leaves | 1.10 |
4.11
|
Msamples/sec |
3.74
|
Viewport Graphics |
|
|||
3dsmax | 15.96 |
308.73
|
fps |
19.30
|
maya | 62.09 |
517.98
|
fps |
8.34
|
WPCstorage |
|
|||
3dsmax | 3299.42 |
2975.50
|
points |
0.90
|
handbrake | 1897.99 |
1946.09
|
points |
1.03
|
maya | 2037.06 |
1690.10
|
points |
0.83
|
MayaVenice | 472.63 |
379.31
|
points |
0.80
|
MandE | 1625.72 |
1409.68
|
points |
0.87
|
Industry Vertical Scores
Product Design | 2.72 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
5229.00
|
ms |
0.81
|
Create/Update Files | 4973.68 |
6217.00
|
ms |
0.80
|
Rebuild | 10590.28 |
12024.00
|
ms |
0.88
|
Render Style/Material | 628.78 |
786.00
|
ms |
0.80
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
33.00
|
fps |
1.36
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
78.68
|
sec |
2.89
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
35.37
|
sec |
22.70
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
517.07
|
iterations/sec |
3.74
|
Viewport Graphics |
|
|||
catia | 17.57 |
134.17
|
fps |
7.64
|
creo | 48.42 |
139.12
|
fps |
2.87
|
solidworks | 42.90 |
620.44
|
fps |
14.50
|
WPCstorage |
|
|||
ccx | 1398.45 |
504.79
|
points |
0.36
|
cfd | 1921.51 |
774.72
|
points |
0.40
|
icePack | 1543.34 |
929.10
|
points |
0.60
|
mcad | 2612.50 |
2904.11
|
points |
1.11
|
proddev | 659.82 |
489.59
|
points |
0.74
|
Industry Vertical Scores
Productivity & Development | 1.36 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
17.89
|
sec |
0.90
|
Compression | 254.57 |
40.00
|
sec |
6.36
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
225.17
|
sec |
2.50
|
Octave |
|
|||
obench | 1.20 |
1.29
|
sec/operation |
0.93
|
benchmark2 | 0.11 |
0.13
|
sec/operation |
0.86
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.44
|
sec |
0.82
|
NumPy Add Matrix | 4.44 |
5.41
|
sec |
0.82
|
NumPy Multiply Matrix | 8.06 |
6.45
|
sec |
1.25
|
NumPy Invert Matrix | 15.53 |
12.08
|
sec |
1.29
|
NumPy Sin Matrix | 2.67 |
3.00
|
sec |
0.89
|
Multi-Matrix | 65.50 |
47.92
|
sec |
1.37
|
WPCstorage |
|
|||
7zip | 431.06 |
385.45
|
points |
0.89
|
mozillaVS | 7708.43 |
5976.05
|
points |
0.78
|
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
6.21
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
HandBrake |
|
|||
GPU H.265 4K to 4K | 169.65 |
137.96
|
fps |
0.81
|
GPU H.265 4K to 1080p | 128.84 |
489.78
|
fps |
3.80
|
ONNX Inference |
|
|||
GPU ResNet50-FP32-batch32 Throughput | 3.92 |
86.79
|
inferences/sec |
22.10
|
GPU ResNet50-INT8-batch32 Throughput | 1.92 |
147.05
|
inferences/sec |
76.60
|
GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
41.05
|
inferences/sec |
6.23
|
GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
42.22
|
inferences/sec |
22.00
|
2.94
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
17.89
|
sec |
0.90
|
Compression | 254.57 |
40.00
|
sec |
6.36
|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
5229.00
|
ms |
0.81
|
Create/Update Files | 4973.68 |
6217.00
|
ms |
0.80
|
Rebuild | 10590.28 |
12024.00
|
ms |
0.88
|
Render Style/Material | 628.78 |
786.00
|
ms |
0.80
|
Blender |
|
|||
Classroom | 281.72 |
23.97
|
sec |
11.80
|
BMW27 | 43.82 |
12.20
|
sec |
3.59
|
BMW1M | 17.74 |
5.59
|
sec |
3.17
|
Island | 29.68 |
25.05
|
sec |
1.19
|
Convolution |
|
|||
20K/100 | 0.09 |
0.41
|
iterations/sec |
4.56
|
Data Science |
|
|||
Pandas | 131.99 |
134.76
|
sec |
0.98
|
Scikit-learn | 449.17 |
101.84
|
sec |
4.41
|
XGBoost | 91.50 |
57.66
|
sec |
1.59
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
138.10
|
sec |
1.41
|
x265 4K to 1080p | 38.36 |
26.12
|
sec |
1.47
|
x265 4K to 4K | 107.73 |
49.75
|
sec |
2.17
|
x264 1080p to 1080p | 49.98 |
9.68
|
sec |
5.17
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
33.00
|
fps |
1.36
|
LAMMPS |
|
|||
LJ | 705.82 |
3127.97
|
tau/day |
4.43
|
CHAIN | 1190.35 |
6510.28
|
tau/day |
5.47
|
EAM | 0.63 |
2.86
|
ns/day |
4.55
|
CHUTE | 38.25 |
167.87
|
tau/day |
4.39
|
RHODO | 0.26 |
0.91
|
ns/day |
3.50
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
225.17
|
sec |
2.50
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
10.12
|
Msamples/sec |
4.11
|
Food | 1.84 |
7.50
|
Msamples/sec |
4.08
|
Danish Mood | 2.29 |
7.02
|
Msamples/sec |
3.07
|
Procedural Leaves | 1.10 |
4.11
|
Msamples/sec |
3.74
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
78.68
|
sec |
2.89
|
NAMD |
|
|||
apoa1 | 45.38 |
12.74
|
ms/step |
3.56
|
f1atpase | 130.50 |
40.08
|
ms/step |
3.26
|
stmv | 448.57 |
123.00
|
ms/step |
3.65
|
Octave |
|
|||
obench | 1.20 |
1.29
|
sec/operation |
0.93
|
benchmark2 | 0.11 |
0.13
|
sec/operation |
0.86
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
26.77
|
ms |
2.38
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
92.12
|
inferences/sec |
5.03
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
8.43
|
ms |
2.65
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
256.90
|
inferences/sec |
5.51
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
22.04
|
ms |
2.65
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
129.78
|
inferences/sec |
6.22
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
13.91
|
ms |
1.53
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
264.75
|
inferences/sec |
4.73
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
35.37
|
sec |
22.70
|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
154557.44
|
options/sec |
4.40
|
Black-Scholes | 3389.63 |
13535.91
|
Moptions/sec |
3.99
|
Binomial | 79377.62 |
248557.72
|
options/sec |
3.13
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
152.79
|
iterations/sec |
9.52
|
Jacobi Square Grid | 6.19 |
30.36
|
iterations/sec |
4.90
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.44
|
sec |
0.82
|
NumPy Add Matrix | 4.44 |
5.41
|
sec |
0.82
|
NumPy Multiply Matrix | 8.06 |
6.45
|
sec |
1.25
|
NumPy Invert Matrix | 15.53 |
12.08
|
sec |
1.29
|
NumPy Sin Matrix | 2.67 |
3.00
|
sec |
0.89
|
Multi-Matrix | 65.50 |
47.92
|
sec |
1.37
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
517.07
|
iterations/sec |
3.74
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
3.60
|
fps |
5.21
|
HotSpot | 8.55 |
2.00
|
sec |
4.28
|
LavaMD | 0.07 |
0.28
|
iterations/sec |
4.04
|
SRAD | 47.04 |
186.21
|
iterations/sec |
3.96
|
SRMP |
|
|||
2D | 19.45 |
6.54
|
sec |
2.97
|
11.75
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Viewport Graphics |
|
|||
3dsmax | 15.96 |
308.73
|
fps |
19.30
|
catia | 17.57 |
134.17
|
fps |
7.64
|
creo | 48.42 |
139.12
|
fps |
2.87
|
energy | 11.48 |
316.66
|
fps |
27.60
|
maya | 62.09 |
517.98
|
fps |
8.34
|
medical | 9.63 |
211.01
|
fps |
21.90
|
solidworks | 42.90 |
620.44
|
fps |
14.50
|
0.74
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
WPCstorage |
|
|||
3dsmax | 3299.42 |
2975.50
|
points |
0.90
|
7zip | 431.06 |
385.45
|
points |
0.89
|
ccx | 1398.45 |
504.79
|
points |
0.36
|
cfd | 1921.51 |
774.72
|
points |
0.40
|
energy | 1547.93 |
1156.73
|
points |
0.75
|
handbrake | 1897.99 |
1946.09
|
points |
1.03
|
icePack | 1543.34 |
929.10
|
points |
0.60
|
maya | 2037.06 |
1690.10
|
points |
0.83
|
MayaVenice | 472.63 |
379.31
|
points |
0.80
|
MandE | 1625.72 |
1409.68
|
points |
0.87
|
mcad | 2612.50 |
2904.11
|
points |
1.11
|
mozillaVS | 7708.43 |
5976.05
|
points |
0.78
|
namd | 1250.61 |
896.89
|
points |
0.72
|
proddev | 659.82 |
489.59
|
points |
0.74
|
Workload Scores
Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|---|---|
7-Zip | Nov 19, 2024, 5:29:36 PM CST |
3.53
|
||||
Decompression | 17.89 sec | 16.04 |
17.89
|
sec |
0.90
|
|
Compression | 40.00 sec | 254.57 |
40.00
|
sec |
6.36
|
|
Autodesk Inventor | Nov 19, 2024, 5:30:39 PM CST |
0.82
|
||||
Open Document | 5.52 sec | 4253.73 |
5229.00
|
ms |
0.81
|
|
Create/Update Files | 8.19 sec | 4973.68 |
6217.00
|
ms |
0.80
|
|
Rebuild | 12.31 sec | 10590.28 |
12024.00
|
ms |
0.88
|
|
Render Style/Material | 1.07 sec | 628.78 |
786.00
|
ms |
0.80
|
|
Blender | Nov 19, 2024, 5:31:35 PM CST |
3.56
|
||||
Classroom | 23.97 sec | 281.72 |
23.97
|
sec |
11.80
|
|
BMW27 | 12.20 sec | 43.82 |
12.20
|
sec |
3.59
|
|
BMW1M | 5.59 sec | 17.74 |
5.59
|
sec |
3.17
|
|
Island | 25.05 sec | 29.68 |
25.05
|
sec |
1.19
|
|
Convolution | Nov 19, 2024, 5:32:47 PM CST |
4.56
|
||||
20K/100 | 33.61 sec | 0.09 |
0.41
|
iterations/sec |
4.56
|
|
Data Science | Nov 19, 2024, 5:33:20 PM CST |
1.90
|
||||
Pandas | 138.84 sec | 131.99 |
134.76
|
sec |
0.98
|
|
Scikit-learn | 106.90 sec | 449.17 |
101.84
|
sec |
4.41
|
|
XGBoost | 81.59 sec | 91.50 |
57.66
|
sec |
1.59
|
|
HandBrake | Nov 19, 2024, 5:39:05 PM CST |
2.04
|
||||
SVT-AV1 8K to 4K | 138.10 sec | 195.16 |
138.10
|
sec |
1.41
|
|
x265 4K to 1080p | 27.74 sec | 38.36 |
26.12
|
sec |
1.47
|
|
x265 4K to 4K | 51.51 sec | 107.73 |
49.75
|
sec |
2.17
|
|
x264 1080p to 1080p | 9.68 sec | 49.98 |
9.68
|
sec |
5.17
|
|
GPU H.265 4K to 4K | 58.45 sec | 169.65 |
137.96
|
fps |
0.81
|
|
GPU H.265 4K to 1080p | 212.90 sec | 128.84 |
489.78
|
fps |
3.80
|
|
Hidden Line Removal | Nov 19, 2024, 5:47:31 PM CST |
1.36
|
||||
Palatov | 18.14 sec | 24.29 |
31.27
|
fps |
1.29
|
|
Palatov | 18.50 sec | 24.29 |
33.00
|
fps |
1.36
|
|
LAMMPS | Nov 19, 2024, 5:48:09 PM CST |
4.42
|
||||
LJ | 7.92 sec | 705.82 |
3127.97
|
tau/day |
4.43
|
|
CHAIN | 8.01 sec | 1190.35 |
6510.28
|
tau/day |
5.47
|
|
EAM | 7.14 sec | 0.63 |
2.86
|
ns/day |
4.55
|
|
CHUTE | 5.42 sec | 38.25 |
167.87
|
tau/day |
4.39
|
|
RHODO | 6.66 sec | 0.26 |
0.91
|
ns/day |
3.50
|
|
LLVM Clang | Nov 19, 2024, 5:48:44 PM CST |
2.50
|
||||
PyTorch | 249.90 sec | 562.76 |
225.17
|
sec |
2.50
|
|
LuxCoreRender | Nov 19, 2024, 5:54:04 PM CST |
3.73
|
||||
DLSC | 6.89 sec | 2.46 |
10.12
|
Msamples/sec |
4.11
|
|
Food | 12.47 sec | 1.84 |
7.50
|
Msamples/sec |
4.08
|
|
Danish Mood | 23.32 sec | 2.29 |
7.02
|
Msamples/sec |
3.07
|
|
Procedural Leaves | 14.31 sec | 1.10 |
4.11
|
Msamples/sec |
3.74
|
|
MFEM | Nov 19, 2024, 5:55:02 PM CST |
2.89
|
||||
Dynamic AMR | 78.68 sec | 227.39 |
78.68
|
sec |
2.89
|
|
NAMD | Nov 19, 2024, 5:56:21 PM CST |
3.49
|
||||
apoa1 | 11.11 sec | 45.38 |
12.74
|
ms/step |
3.56
|
|
f1atpase | 23.39 sec | 130.50 |
40.08
|
ms/step |
3.26
|
|
stmv | 38.87 sec | 448.57 |
123.00
|
ms/step |
3.65
|
|
Octave | Nov 19, 2024, 5:57:34 PM CST |
0.90
|
||||
obench | 35.33 sec | 1.20 |
1.29
|
sec/operation |
0.93
|
|
benchmark2 | 11.77 sec | 0.11 |
0.13
|
sec/operation |
0.86
|
|
ONNX Inference | Nov 19, 2024, 5:58:34 PM CST |
6.41
|
||||
CPU ResNet50-FP32-batch8 Latency | 20.44 sec | 63.72 |
26.77
|
ms |
2.38
|
|
CPU ResNet50-FP32-batch8 Throughput | 21.55 sec | 18.33 |
92.12
|
inferences/sec |
5.03
|
|
CPU ResNet50-FP32-batch8 Throughput | 22.16 sec | 18.33 |
64.25
|
inferences/sec |
3.51
|
|
CPU ResNet50-INT8-batch8 Latency | 20.19 sec | 22.37 |
8.43
|
ms |
2.65
|
|
CPU ResNet50-INT8-batch8 Throughput | 20.65 sec | 46.62 |
256.90
|
inferences/sec |
5.51
|
|
CPU ResNet50-INT8-batch8 Throughput | 20.78 sec | 46.62 |
225.16
|
inferences/sec |
4.83
|
|
CPU SuperResolution-FP32-batch8 Latency | 20.15 sec | 58.42 |
22.04
|
ms |
2.65
|
|
CPU SuperResolution-FP32-batch8 Throughput | 21.26 sec | 20.87 |
129.78
|
inferences/sec |
6.22
|
|
CPU SuperResolution-FP32-batch8 Throughput | 21.81 sec | 20.87 |
86.15
|
inferences/sec |
4.13
|
|
CPU SuperResolution-INT8-batch8 Latency | 20.13 sec | 21.34 |
13.91
|
ms |
1.53
|
|
CPU SuperResolution-INT8-batch8 Throughput | 20.71 sec | 55.92 |
264.75
|
inferences/sec |
4.73
|
|
CPU SuperResolution-INT8-batch8 Throughput | 20.86 sec | 55.92 |
190.29
|
inferences/sec |
3.40
|
|
GPU ResNet50-FP32-batch32 Throughput | 20.98 sec | 3.92 |
86.79
|
inferences/sec |
22.10
|
|
GPU ResNet50-INT8-batch32 Throughput | 20.73 sec | 1.92 |
147.05
|
inferences/sec |
76.60
|
|
GPU SuperResolution-FP32-batch32 Throughput | 22.01 sec | 6.59 |
41.05
|
inferences/sec |
6.23
|
|
GPU SuperResolution-INT8-batch32 Throughput | 21.97 sec | 1.92 |
42.22
|
inferences/sec |
22.00
|
|
OpenFOAM | Nov 19, 2024, 6:04:12 PM CST |
22.70
|
||||
XiFoam Solver | 113.80 sec | 803.27 |
95.28
|
sec |
8.43
|
|
XiFoam Solver | 48.48 sec | 803.27 |
35.37
|
sec |
22.70
|
|
Options Pricing | Nov 19, 2024, 6:06:59 PM CST |
3.80
|
||||
Monte Carlo | 6.89 sec | 35137.48 |
154557.44
|
options/sec |
4.40
|
|
Black-Scholes | 6.60 sec | 3389.63 |
13535.91
|
Moptions/sec |
3.99
|
|
Binomial | 4.30 sec | 79377.62 |
248557.72
|
options/sec |
3.13
|
|
Poisson | Nov 19, 2024, 6:07:16 PM CST |
6.83
|
||||
Jacobi Rectangular Grid | 10.11 sec | 16.05 |
152.79
|
iterations/sec |
9.52
|
|
Jacobi Rectangular Grid | 10.06 sec | 16.05 |
141.71
|
iterations/sec |
8.83
|
|
Jacobi Square Grid | 10.17 sec | 6.19 |
28.59
|
iterations/sec |
4.62
|
|
Jacobi Square Grid | 10.11 sec | 6.19 |
30.36
|
iterations/sec |
4.90
|
|
Python 3 | Nov 19, 2024, 6:07:57 PM CST |
1.17
|
||||
NumPy Create Matrix | 1.51 sec | 0.36 |
0.44
|
sec |
0.82
|
|
NumPy Add Matrix | 6.37 sec | 4.44 |
5.41
|
sec |
0.82
|
|
NumPy Multiply Matrix | 7.42 sec | 8.06 |
6.45
|
sec |
1.25
|
|
NumPy Invert Matrix | 13.06 sec | 15.53 |
12.08
|
sec |
1.29
|
|
NumPy Sin Matrix | 3.96 sec | 2.67 |
3.00
|
sec |
0.89
|
|
Multi-Matrix | 49.76 sec | 65.50 |
47.92
|
sec |
1.37
|
|
Rodinia CFD | Nov 19, 2024, 6:09:29 PM CST |
3.74
|
||||
Pre-Euler | 33.49 sec | 138.14 |
517.07
|
iterations/sec |
3.74
|
|
Rodinia Life Sciences | Nov 19, 2024, 6:10:03 PM CST |
4.35
|
||||
Heart Wall | 10.54 sec | 0.69 |
3.60
|
fps |
5.21
|
|
HotSpot | 3.25 sec | 8.55 |
2.00
|
sec |
4.28
|
|
LavaMD | 11.03 sec | 0.07 |
0.28
|
iterations/sec |
4.04
|
|
SRAD | 10.32 sec | 47.04 |
186.21
|
iterations/sec |
3.96
|
|
SRMP | Nov 19, 2024, 6:10:39 PM CST |
2.97
|
||||
2D | 7.38 sec | 19.45 |
6.54
|
sec |
2.97
|
|
Viewport Graphics | Nov 19, 2024, 6:10:46 PM CST |
11.80
|
||||
3dsmax | 121.96 sec | 15.96 |
308.73
|
fps |
19.30
|
|
catia | 119.45 sec | 17.57 |
134.17
|
fps |
7.64
|
|
creo | 177.84 sec | 48.42 |
139.12
|
fps |
2.87
|
|
energy | 99.87 sec | 11.48 |
316.66
|
fps |
27.60
|
|
maya | 92.68 sec | 62.09 |
517.98
|
fps |
8.34
|
|
medical | 74.07 sec | 9.63 |
211.01
|
fps |
21.90
|
|
solidworks | 68.03 sec | 42.90 |
620.44
|
fps |
14.50
|
|
WPCstorage | Nov 19, 2024, 6:24:33 PM CST |
0.74
|
||||
3dsmax | 64.07 sec | 3299.42 |
2975.50
|
points |
0.90
|
|
7zip | 64.13 sec | 431.06 |
385.45
|
points |
0.89
|
|
ccx | 13.15 sec | 1398.45 |
504.79
|
points |
0.36
|
|
cfd | 14.58 sec | 1921.51 |
774.72
|
points |
0.40
|
|
energy | 24.26 sec | 1547.93 |
1156.73
|
points |
0.75
|
|
handbrake | 17.04 sec | 1897.99 |
1946.09
|
points |
1.03
|
|
icePack | 79.28 sec | 1543.34 |
929.10
|
points |
0.60
|
|
maya | 65.85 sec | 2037.06 |
1690.10
|
points |
0.83
|
|
MayaVenice | 38.84 sec | 472.63 |
379.31
|
points |
0.80
|
|
MandE | 23.49 sec | 1625.72 |
1409.68
|
points |
0.87
|
|
mcad | 67.36 sec | 2612.50 |
2904.11
|
points |
1.11
|
|
mozillaVS | 33.85 sec | 7708.43 |
5976.05
|
points |
0.78
|
|
namd | 20.05 sec | 1250.61 |
896.89
|
points |
0.72
|
|
proddev | 21.58 sec | 659.82 |
489.59
|
points |
0.74
|
System Configuration Details
MOTHERBOARD
Name: 01G0M6Model: Precision 7960 Tower
Version: A02
Manufacturer: Dell Inc.
Serial Number: /JMTX624/CNFCW003BB0005/
BIOS: Dell Inc. 2.4.1
BIOS Version: INTEL - 0 (2024-09-11)
PROCESSOR
CPU #1: Intel(R) Xeon(R) w9-3495X (1896MHz / 56C / 112T)
MEMORY
(DIMM1): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)(DIMM9): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM7): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM15): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM3): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM11): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM5): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM13): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM4): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM12): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM6): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM14): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM2): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM10): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM8): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
(DIMM16): Micron Technology MTC10F1084S1RC48BA1 (16.00 GB / 4400 MHz / DDR5)
Total Memory: 256.00 GB
STORAGE
Disk #1: ST8000NM023B-2TJ133 (7452.03 GB - SCSI)Partition 1: GPT: Basic Data (7451.91 GB)
Disk #2: NVMe PC801 NVMe SK hy (1907.73 GB - SCSI)
Partition 1: GPT: System (0.20 GB)
Partition 2: GPT: Basic Data (1904.67 GB)
Partition 3: GPT: Unknown (1.21 GB)
Partition 4: GPT: Unknown (1.52 GB)
Available Volumes
C: (OS): NTFS (1149.20 GB of 1904.67 GB Available)
D: (DATA): NTFS (7451.58 GB of 7451.91 GB Available)
NETWORK
Adapter #1: Intel(R) Ethernet Connection (17) I219-LMType: Ethernet 802.3 | MAC: 00:4E:01:FD:9A:86 | Speed: Not Connected
Adapter #2: Marvell AQtion 10Gbit Network Adapter
Type: Ethernet 802.3 | MAC: 00:4E:01:FD:9A:87 | Speed: Not Connected
GRAPHICS
Adapter #1: NVIDIA RTX 6000 Ada GenerationVideo Memory: 47.99 GB
Current Resolution: 1920x1080 @ 60 Hz (32-bit Color)
Driver Version: 32.0.15.5612 (2024-06-24)
DISPLAY
Display #1: DELL INC. DELL P2815Q 27.8" (3840x2160)Model: F05A | S/N: WJJGR41LADFM | Connector: External DisplayPort (Digital)
Windows Screens
Screen 1: 1920x1080 @ 32 bpp
OPERATING SYSTEM
Name: Microsoft Windows 11 Pro for Workstations 64-bitVersion: 10.0.22631.4460 (Release 2009)
Installation Date: 2024-05-23
Free Memory: 242.64 GB (Physical) | 257.20 GB (Virtual) | 16.00 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Let Windows Choose
Virtualization Based Security (VBS): Running
Active Power Plan: High performance (8c5e7fda-e8bf-4a96-9a85-a6e23a8c635c)