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 5860 Tower |
CPU | Intel(R) Xeon(R) w7-2495X |
Memory | 256.00 GB @ 4400 MHz |
GPU | NVIDIA RTX 5000 Ada Generation |
Display | DELL U3219Q 31.5" (3840x2160) |
Storage | NVMe KXG80ZNV2T04 NVM 1907.73 GB - SCSI |
OS | Microsoft Windows 11 Pro for Workstations (22631) |
Submission Details
Result Date | Tue Nov 19 2024 22:45:13 GMT-0800 (Pacific Standard Time) |
Submitter Company | |
Submitter Name | |
Submitter Comments |
Industry Vertical Scores
AI & Machine Learning |
2.77 |
Energy |
2.88 |
Financial Services |
2.10 |
Life Sciences |
2.95 |
Media & Entertainment |
2.70 |
Product Design |
2.41 |
Productivity & Development |
1.48 |
Hardware Subsystem Scores
CPU | 2.06 |
Accelerator | 5.66 |
Graphics | 11.03 |
Storage | 1.11 |
Workload | SPEC Ratio |
---|---|
7-Zip | 3.23 |
Autodesk Inventor | 0.88 |
Blender | 2.43 |
Convolution | 2.39 |
Data Science | 1.53 |
HandBrake | 1.91 |
Hidden Line Removal | 1.27 |
LAMMPS | 2.45 |
LLVM Clang | 2.08 |
LuxCoreRender | 2.28 |
MFEM | 1.96 |
NAMD | 2.01 |
Octave | 0.92 |
ONNX Inference | 5.02 |
OpenFOAM | 10.70 |
Options Pricing | 2.10 |
Poisson | 2.22 |
Python 3 | 1.26 |
Rodinia CFD | 2.83 |
Rodinia Life Sciences | 2.29 |
SRMP | 2.09 |
Viewport Graphics | 11.00 |
WPCstorage | 1.11 |
Industry Vertical Scores
AI & Machine Learning | 2.77 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Data Science |
|
|||
Pandas | 131.99 |
122.50
|
sec |
1.08
|
Scikit-learn | 449.17 |
217.24
|
sec |
2.07
|
XGBoost | 91.50 |
57.00
|
sec |
1.61
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
21.64
|
ms |
2.95
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
52.81
|
inferences/sec |
2.88
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
9.16
|
ms |
2.44
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
157.61
|
inferences/sec |
3.38
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
22.06
|
ms |
2.65
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
57.37
|
inferences/sec |
2.75
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
12.61
|
ms |
1.69
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
130.27
|
inferences/sec |
2.33
|
GPU ResNet50-FP32-batch32 Throughput | 3.92 |
64.96
|
inferences/sec |
16.60
|
GPU ResNet50-INT8-batch32 Throughput | 1.92 |
126.15
|
inferences/sec |
65.70
|
GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
36.39
|
inferences/sec |
5.52
|
GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
40.24
|
inferences/sec |
21.00
|
Industry Vertical Scores
Energy | 2.88 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Convolution |
|
|||
20K/100 | 0.09 |
0.21
|
iterations/sec |
2.39
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
38.52
|
iterations/sec |
2.40
|
Jacobi Square Grid | 6.19 |
12.68
|
iterations/sec |
2.05
|
SRMP |
|
|||
2D | 19.45 |
9.30
|
sec |
2.09
|
Viewport Graphics |
|
|||
energy | 11.48 |
259.35
|
fps |
22.60
|
WPCstorage |
|
|||
energy | 1547.93 |
1221.80
|
points |
0.79
|
Industry Vertical Scores
Financial Services | 2.10 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
79398.22
|
options/sec |
2.26
|
Black-Scholes | 3389.63 |
8283.29
|
Moptions/sec |
2.44
|
Binomial | 79377.62 |
133260.72
|
options/sec |
1.68
|
Industry Vertical Scores
Life Sciences | 2.95 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
LAMMPS |
|
|||
LJ | 705.82 |
1768.90
|
tau/day |
2.51
|
CHAIN | 1190.35 |
3389.44
|
tau/day |
2.85
|
EAM | 0.63 |
1.54
|
ns/day |
2.44
|
CHUTE | 38.25 |
79.09
|
tau/day |
2.07
|
RHODO | 0.26 |
0.63
|
ns/day |
2.43
|
NAMD |
|
|||
apoa1 | 45.38 |
22.35
|
ms/step |
2.03
|
f1atpase | 130.50 |
68.83
|
ms/step |
1.90
|
stmv | 448.57 |
214.16
|
ms/step |
2.09
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
1.79
|
fps |
2.59
|
HotSpot | 8.55 |
3.46
|
sec |
2.47
|
LavaMD | 0.07 |
0.14
|
iterations/sec |
2.06
|
SRAD | 47.04 |
97.73
|
iterations/sec |
2.08
|
Viewport Graphics |
|
|||
medical | 9.63 |
198.64
|
fps |
20.60
|
WPCstorage |
|
|||
namd | 1250.61 |
1213.89
|
points |
0.97
|
Industry Vertical Scores
Media & Entertainment | 2.70 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Blender |
|
|||
Classroom | 281.72 |
41.05
|
sec |
6.86
|
BMW27 | 43.82 |
20.59
|
sec |
2.13
|
BMW1M | 17.74 |
8.68
|
sec |
2.04
|
Island | 29.68 |
25.36
|
sec |
1.17
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
141.47
|
sec |
1.38
|
x265 4K to 1080p | 38.36 |
28.00
|
sec |
1.37
|
x265 4K to 4K | 107.73 |
55.12
|
sec |
1.95
|
x264 1080p to 1080p | 49.98 |
10.79
|
sec |
4.63
|
GPU H.265 4K to 4K | 169.65 |
134.48
|
fps |
0.79
|
GPU H.265 4K to 1080p | 128.84 |
468.41
|
fps |
3.64
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
5.90
|
Msamples/sec |
2.40
|
Food | 1.84 |
4.52
|
Msamples/sec |
2.46
|
Danish Mood | 2.29 |
4.69
|
Msamples/sec |
2.05
|
Procedural Leaves | 1.10 |
2.45
|
Msamples/sec |
2.23
|
Viewport Graphics |
|
|||
3dsmax | 15.96 |
243.20
|
fps |
15.20
|
maya | 62.09 |
516.87
|
fps |
8.32
|
WPCstorage |
|
|||
3dsmax | 3299.42 |
3174.07
|
points |
0.96
|
handbrake | 1897.99 |
2467.44
|
points |
1.30
|
maya | 2037.06 |
3186.03
|
points |
1.56
|
MayaVenice | 472.63 |
634.81
|
points |
1.34
|
MandE | 1625.72 |
1575.17
|
points |
0.97
|
Industry Vertical Scores
Product Design | 2.41 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
4863.00
|
ms |
0.88
|
Create/Update Files | 4973.68 |
5680.00
|
ms |
0.88
|
Rebuild | 10590.28 |
11288.00
|
ms |
0.94
|
Render Style/Material | 628.78 |
739.00
|
ms |
0.85
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
30.82
|
fps |
1.27
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
116.20
|
sec |
1.96
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
75.33
|
sec |
10.70
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
390.63
|
iterations/sec |
2.83
|
Viewport Graphics |
|
|||
catia | 17.57 |
125.77
|
fps |
7.16
|
creo | 48.42 |
167.94
|
fps |
3.47
|
solidworks | 42.90 |
584.57
|
fps |
13.60
|
WPCstorage |
|
|||
ccx | 1398.45 |
1837.34
|
points |
1.31
|
cfd | 1921.51 |
1772.28
|
points |
0.92
|
icePack | 1543.34 |
1262.61
|
points |
0.82
|
mcad | 2612.50 |
3772.91
|
points |
1.44
|
proddev | 659.82 |
503.41
|
points |
0.76
|
Industry Vertical Scores
Productivity & Development | 1.48 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
16.91
|
sec |
0.95
|
Compression | 254.57 |
46.62
|
sec |
5.46
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
270.60
|
sec |
2.08
|
Octave |
|
|||
obench | 1.20 |
1.25
|
sec/operation |
0.96
|
benchmark2 | 0.11 |
0.12
|
sec/operation |
0.89
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.37
|
sec |
0.97
|
NumPy Add Matrix | 4.44 |
5.05
|
sec |
0.88
|
NumPy Multiply Matrix | 8.06 |
5.68
|
sec |
1.42
|
NumPy Invert Matrix | 15.53 |
10.47
|
sec |
1.48
|
NumPy Sin Matrix | 2.67 |
2.83
|
sec |
0.94
|
Multi-Matrix | 65.50 |
45.68
|
sec |
1.43
|
WPCstorage |
|
|||
7zip | 431.06 |
511.59
|
points |
1.19
|
mozillaVS | 7708.43 |
13092.30
|
points |
1.70
|
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
5.66
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
HandBrake |
|
|||
GPU H.265 4K to 4K | 169.65 |
134.48
|
fps |
0.79
|
GPU H.265 4K to 1080p | 128.84 |
468.41
|
fps |
3.64
|
ONNX Inference |
|
|||
GPU ResNet50-FP32-batch32 Throughput | 3.92 |
64.96
|
inferences/sec |
16.60
|
GPU ResNet50-INT8-batch32 Throughput | 1.92 |
126.15
|
inferences/sec |
65.70
|
GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
36.39
|
inferences/sec |
5.52
|
GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
40.24
|
inferences/sec |
21.00
|
2.06
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
16.91
|
sec |
0.95
|
Compression | 254.57 |
46.62
|
sec |
5.46
|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
4863.00
|
ms |
0.88
|
Create/Update Files | 4973.68 |
5680.00
|
ms |
0.88
|
Rebuild | 10590.28 |
11288.00
|
ms |
0.94
|
Render Style/Material | 628.78 |
739.00
|
ms |
0.85
|
Blender |
|
|||
Classroom | 281.72 |
41.05
|
sec |
6.86
|
BMW27 | 43.82 |
20.59
|
sec |
2.13
|
BMW1M | 17.74 |
8.68
|
sec |
2.04
|
Island | 29.68 |
25.36
|
sec |
1.17
|
Convolution |
|
|||
20K/100 | 0.09 |
0.21
|
iterations/sec |
2.39
|
Data Science |
|
|||
Pandas | 131.99 |
122.50
|
sec |
1.08
|
Scikit-learn | 449.17 |
217.24
|
sec |
2.07
|
XGBoost | 91.50 |
57.00
|
sec |
1.61
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
141.47
|
sec |
1.38
|
x265 4K to 1080p | 38.36 |
28.00
|
sec |
1.37
|
x265 4K to 4K | 107.73 |
55.12
|
sec |
1.95
|
x264 1080p to 1080p | 49.98 |
10.79
|
sec |
4.63
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
30.82
|
fps |
1.27
|
LAMMPS |
|
|||
LJ | 705.82 |
1768.90
|
tau/day |
2.51
|
CHAIN | 1190.35 |
3389.44
|
tau/day |
2.85
|
EAM | 0.63 |
1.54
|
ns/day |
2.44
|
CHUTE | 38.25 |
79.09
|
tau/day |
2.07
|
RHODO | 0.26 |
0.63
|
ns/day |
2.43
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
270.60
|
sec |
2.08
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
5.90
|
Msamples/sec |
2.40
|
Food | 1.84 |
4.52
|
Msamples/sec |
2.46
|
Danish Mood | 2.29 |
4.69
|
Msamples/sec |
2.05
|
Procedural Leaves | 1.10 |
2.45
|
Msamples/sec |
2.23
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
116.20
|
sec |
1.96
|
NAMD |
|
|||
apoa1 | 45.38 |
22.35
|
ms/step |
2.03
|
f1atpase | 130.50 |
68.83
|
ms/step |
1.90
|
stmv | 448.57 |
214.16
|
ms/step |
2.09
|
Octave |
|
|||
obench | 1.20 |
1.25
|
sec/operation |
0.96
|
benchmark2 | 0.11 |
0.12
|
sec/operation |
0.89
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
21.64
|
ms |
2.95
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
52.81
|
inferences/sec |
2.88
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
9.16
|
ms |
2.44
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
157.61
|
inferences/sec |
3.38
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
22.06
|
ms |
2.65
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
57.37
|
inferences/sec |
2.75
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
12.61
|
ms |
1.69
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
130.27
|
inferences/sec |
2.33
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
75.33
|
sec |
10.70
|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
79398.22
|
options/sec |
2.26
|
Black-Scholes | 3389.63 |
8283.29
|
Moptions/sec |
2.44
|
Binomial | 79377.62 |
133260.72
|
options/sec |
1.68
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
38.52
|
iterations/sec |
2.40
|
Jacobi Square Grid | 6.19 |
12.68
|
iterations/sec |
2.05
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.37
|
sec |
0.97
|
NumPy Add Matrix | 4.44 |
5.05
|
sec |
0.88
|
NumPy Multiply Matrix | 8.06 |
5.68
|
sec |
1.42
|
NumPy Invert Matrix | 15.53 |
10.47
|
sec |
1.48
|
NumPy Sin Matrix | 2.67 |
2.83
|
sec |
0.94
|
Multi-Matrix | 65.50 |
45.68
|
sec |
1.43
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
390.63
|
iterations/sec |
2.83
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
1.79
|
fps |
2.59
|
HotSpot | 8.55 |
3.46
|
sec |
2.47
|
LavaMD | 0.07 |
0.14
|
iterations/sec |
2.06
|
SRAD | 47.04 |
97.73
|
iterations/sec |
2.08
|
SRMP |
|
|||
2D | 19.45 |
9.30
|
sec |
2.09
|
11.03
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Viewport Graphics |
|
|||
3dsmax | 15.96 |
243.20
|
fps |
15.20
|
catia | 17.57 |
125.77
|
fps |
7.16
|
creo | 48.42 |
167.94
|
fps |
3.47
|
energy | 11.48 |
259.35
|
fps |
22.60
|
maya | 62.09 |
516.87
|
fps |
8.32
|
medical | 9.63 |
198.64
|
fps |
20.60
|
solidworks | 42.90 |
584.57
|
fps |
13.60
|
1.11
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
WPCstorage |
|
|||
3dsmax | 3299.42 |
3174.07
|
points |
0.96
|
7zip | 431.06 |
511.59
|
points |
1.19
|
ccx | 1398.45 |
1837.34
|
points |
1.31
|
cfd | 1921.51 |
1772.28
|
points |
0.92
|
energy | 1547.93 |
1221.80
|
points |
0.79
|
handbrake | 1897.99 |
2467.44
|
points |
1.30
|
icePack | 1543.34 |
1262.61
|
points |
0.82
|
maya | 2037.06 |
3186.03
|
points |
1.56
|
MayaVenice | 472.63 |
634.81
|
points |
1.34
|
MandE | 1625.72 |
1575.17
|
points |
0.97
|
mcad | 2612.50 |
3772.91
|
points |
1.44
|
mozillaVS | 7708.43 |
13092.30
|
points |
1.70
|
namd | 1250.61 |
1213.89
|
points |
0.97
|
proddev | 659.82 |
503.41
|
points |
0.76
|
Workload Scores
Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|---|---|
7-Zip | Nov 19, 2024, 10:45:13 PM PST |
3.23
|
||||
Decompression | 16.91 sec | 16.04 |
16.91
|
sec |
0.95
|
|
Compression | 46.62 sec | 254.57 |
46.62
|
sec |
5.46
|
|
Autodesk Inventor | Nov 19, 2024, 10:46:21 PM PST |
0.88
|
||||
Open Document | 5.12 sec | 4253.73 |
4863.00
|
ms |
0.88
|
|
Create/Update Files | 7.58 sec | 4973.68 |
5680.00
|
ms |
0.88
|
|
Rebuild | 11.55 sec | 10590.28 |
11288.00
|
ms |
0.94
|
|
Render Style/Material | 0.99 sec | 628.78 |
739.00
|
ms |
0.85
|
|
Blender | Nov 19, 2024, 10:47:13 PM PST |
2.43
|
||||
Classroom | 41.05 sec | 281.72 |
41.05
|
sec |
6.86
|
|
BMW27 | 20.59 sec | 43.82 |
20.59
|
sec |
2.13
|
|
BMW1M | 8.68 sec | 17.74 |
8.68
|
sec |
2.04
|
|
Island | 25.36 sec | 29.68 |
25.36
|
sec |
1.17
|
|
Convolution | Nov 19, 2024, 10:48:54 PM PST |
2.39
|
||||
20K/100 | 34.16 sec | 0.09 |
0.21
|
iterations/sec |
2.39
|
|
Data Science | Nov 19, 2024, 10:49:28 PM PST |
1.53
|
||||
Pandas | 126.29 sec | 131.99 |
122.50
|
sec |
1.08
|
|
Scikit-learn | 221.98 sec | 449.17 |
217.24
|
sec |
2.07
|
|
XGBoost | 80.05 sec | 91.50 |
57.00
|
sec |
1.61
|
|
HandBrake | Nov 19, 2024, 10:56:53 PM PST |
1.91
|
||||
SVT-AV1 8K to 4K | 141.47 sec | 195.16 |
141.47
|
sec |
1.38
|
|
x265 4K to 1080p | 29.71 sec | 38.36 |
28.00
|
sec |
1.37
|
|
x265 4K to 4K | 56.78 sec | 107.73 |
55.12
|
sec |
1.95
|
|
x264 1080p to 1080p | 10.79 sec | 49.98 |
10.79
|
sec |
4.63
|
|
GPU H.265 4K to 4K | 60.34 sec | 169.65 |
134.48
|
fps |
0.79
|
|
GPU H.265 4K to 1080p | 210.81 sec | 128.84 |
468.41
|
fps |
3.64
|
|
Hidden Line Removal | Nov 19, 2024, 11:05:30 PM PST |
1.27
|
||||
Palatov | 17.91 sec | 24.29 |
30.82
|
fps |
1.27
|
|
Palatov | 18.54 sec | 24.29 |
25.27
|
fps |
1.04
|
|
LAMMPS | Nov 19, 2024, 11:06:07 PM PST |
2.45
|
||||
LJ | 9.11 sec | 705.82 |
1768.90
|
tau/day |
2.51
|
|
CHAIN | 8.35 sec | 1190.35 |
3389.44
|
tau/day |
2.85
|
|
EAM | 9.59 sec | 0.63 |
1.54
|
ns/day |
2.44
|
|
CHUTE | 5.90 sec | 38.25 |
79.09
|
tau/day |
2.07
|
|
RHODO | 5.06 sec | 0.26 |
0.63
|
ns/day |
2.43
|
|
LLVM Clang | Nov 19, 2024, 11:06:46 PM PST |
2.08
|
||||
PyTorch | 293.81 sec | 562.76 |
270.60
|
sec |
2.08
|
|
LuxCoreRender | Nov 19, 2024, 11:12:45 PM PST |
2.28
|
||||
DLSC | 9.64 sec | 2.46 |
5.90
|
Msamples/sec |
2.40
|
|
Food | 14.83 sec | 1.84 |
4.52
|
Msamples/sec |
2.46
|
|
Danish Mood | 32.51 sec | 2.29 |
4.69
|
Msamples/sec |
2.05
|
|
Procedural Leaves | 23.00 sec | 1.10 |
2.45
|
Msamples/sec |
2.23
|
|
MFEM | Nov 19, 2024, 11:14:05 PM PST |
1.96
|
||||
Dynamic AMR | 116.20 sec | 227.39 |
116.20
|
sec |
1.96
|
|
NAMD | Nov 19, 2024, 11:16:02 PM PST |
2.01
|
||||
apoa1 | 12.19 sec | 45.38 |
22.35
|
ms/step |
2.03
|
|
f1atpase | 20.14 sec | 130.50 |
68.83
|
ms/step |
1.90
|
|
stmv | 40.56 sec | 448.57 |
214.16
|
ms/step |
2.09
|
|
Octave | Nov 19, 2024, 11:17:15 PM PST |
0.92
|
||||
obench | 40.99 sec | 1.20 |
1.25
|
sec/operation |
0.96
|
|
benchmark2 | 11.66 sec | 0.11 |
0.12
|
sec/operation |
0.89
|
|
ONNX Inference | Nov 19, 2024, 11:18:19 PM PST |
5.02
|
||||
CPU ResNet50-FP32-batch8 Latency | 20.42 sec | 63.72 |
21.64
|
ms |
2.95
|
|
CPU ResNet50-FP32-batch8 Throughput | 21.15 sec | 18.33 |
52.81
|
inferences/sec |
2.88
|
|
CPU ResNet50-FP32-batch8 Throughput | 21.50 sec | 18.33 |
52.14
|
inferences/sec |
2.84
|
|
CPU ResNet50-INT8-batch8 Latency | 20.17 sec | 22.37 |
9.16
|
ms |
2.44
|
|
CPU ResNet50-INT8-batch8 Throughput | 20.46 sec | 46.62 |
157.61
|
inferences/sec |
3.38
|
|
CPU ResNet50-INT8-batch8 Throughput | 20.58 sec | 46.62 |
141.26
|
inferences/sec |
3.03
|
|
CPU SuperResolution-FP32-batch8 Latency | 20.13 sec | 58.42 |
22.06
|
ms |
2.65
|
|
CPU SuperResolution-FP32-batch8 Throughput | 20.89 sec | 20.87 |
57.37
|
inferences/sec |
2.75
|
|
CPU SuperResolution-FP32-batch8 Throughput | 21.23 sec | 20.87 |
53.20
|
inferences/sec |
2.55
|
|
CPU SuperResolution-INT8-batch8 Latency | 20.10 sec | 21.34 |
12.61
|
ms |
1.69
|
|
CPU SuperResolution-INT8-batch8 Throughput | 20.50 sec | 55.92 |
130.27
|
inferences/sec |
2.33
|
|
CPU SuperResolution-INT8-batch8 Throughput | 20.63 sec | 55.92 |
107.23
|
inferences/sec |
1.92
|
|
GPU ResNet50-FP32-batch32 Throughput | 20.67 sec | 3.92 |
64.96
|
inferences/sec |
16.60
|
|
GPU ResNet50-INT8-batch32 Throughput | 20.69 sec | 1.92 |
126.15
|
inferences/sec |
65.70
|
|
GPU SuperResolution-FP32-batch32 Throughput | 21.75 sec | 6.59 |
36.39
|
inferences/sec |
5.52
|
|
GPU SuperResolution-INT8-batch32 Throughput | 21.85 sec | 1.92 |
40.24
|
inferences/sec |
21.00
|
|
OpenFOAM | Nov 19, 2024, 11:23:53 PM PST |
10.70
|
||||
XiFoam Solver | 117.87 sec | 803.27 |
105.26
|
sec |
7.63
|
|
XiFoam Solver | 86.37 sec | 803.27 |
75.33
|
sec |
10.70
|
|
Options Pricing | Nov 19, 2024, 11:27:22 PM PST |
2.10
|
||||
Monte Carlo | 13.30 sec | 35137.48 |
79398.22
|
options/sec |
2.26
|
|
Black-Scholes | 9.62 sec | 3389.63 |
8283.29
|
Moptions/sec |
2.44
|
|
Binomial | 7.95 sec | 79377.62 |
133260.72
|
options/sec |
1.68
|
|
Poisson | Nov 19, 2024, 11:27:53 PM PST |
2.22
|
||||
Jacobi Rectangular Grid | 10.13 sec | 16.05 |
38.52
|
iterations/sec |
2.40
|
|
Jacobi Rectangular Grid | 10.05 sec | 16.05 |
38.49
|
iterations/sec |
2.40
|
|
Jacobi Square Grid | 10.20 sec | 6.19 |
12.68
|
iterations/sec |
2.05
|
|
Jacobi Square Grid | 10.09 sec | 6.19 |
12.71
|
iterations/sec |
2.05
|
|
Python 3 | Nov 19, 2024, 11:28:33 PM PST |
1.26
|
||||
NumPy Create Matrix | 1.36 sec | 0.36 |
0.37
|
sec |
0.97
|
|
NumPy Add Matrix | 5.95 sec | 4.44 |
5.05
|
sec |
0.88
|
|
NumPy Multiply Matrix | 6.59 sec | 8.06 |
5.68
|
sec |
1.42
|
|
NumPy Invert Matrix | 11.38 sec | 15.53 |
10.47
|
sec |
1.48
|
|
NumPy Sin Matrix | 3.73 sec | 2.67 |
2.83
|
sec |
0.94
|
|
Multi-Matrix | 47.18 sec | 65.50 |
45.68
|
sec |
1.43
|
|
Rodinia CFD | Nov 19, 2024, 11:29:59 PM PST |
2.83
|
||||
Pre-Euler | 33.35 sec | 138.14 |
390.63
|
iterations/sec |
2.83
|
|
Rodinia Life Sciences | Nov 19, 2024, 11:30:33 PM PST |
2.29
|
||||
Heart Wall | 10.27 sec | 0.69 |
1.79
|
fps |
2.59
|
|
HotSpot | 4.65 sec | 8.55 |
3.46
|
sec |
2.47
|
|
LavaMD | 14.32 sec | 0.07 |
0.14
|
iterations/sec |
2.06
|
|
SRAD | 10.27 sec | 47.04 |
97.73
|
iterations/sec |
2.08
|
|
SRMP | Nov 19, 2024, 11:31:13 PM PST |
2.09
|
||||
2D | 9.67 sec | 19.45 |
9.30
|
sec |
2.09
|
|
Viewport Graphics | Nov 19, 2024, 11:31:22 PM PST |
11.00
|
||||
3dsmax | 121.65 sec | 15.96 |
243.20
|
fps |
15.20
|
|
catia | 114.65 sec | 17.57 |
125.77
|
fps |
7.16
|
|
creo | 128.12 sec | 48.42 |
167.94
|
fps |
3.47
|
|
energy | 99.52 sec | 11.48 |
259.35
|
fps |
22.60
|
|
maya | 90.81 sec | 62.09 |
516.87
|
fps |
8.32
|
|
medical | 73.21 sec | 9.63 |
198.64
|
fps |
20.60
|
|
solidworks | 69.98 sec | 42.90 |
584.57
|
fps |
13.60
|
|
WPCstorage | Nov 19, 2024, 11:44:10 PM PST |
1.11
|
||||
3dsmax | 62.63 sec | 3299.42 |
3174.07
|
points |
0.96
|
|
7zip | 63.84 sec | 431.06 |
511.59
|
points |
1.19
|
|
ccx | 12.81 sec | 1398.45 |
1837.34
|
points |
1.31
|
|
cfd | 13.61 sec | 1921.51 |
1772.28
|
points |
0.92
|
|
energy | 24.60 sec | 1547.93 |
1221.80
|
points |
0.79
|
|
handbrake | 17.60 sec | 1897.99 |
2467.44
|
points |
1.30
|
|
icePack | 67.80 sec | 1543.34 |
1262.61
|
points |
0.82
|
|
maya | 48.41 sec | 2037.06 |
3186.03
|
points |
1.56
|
|
MayaVenice | 29.82 sec | 472.63 |
634.81
|
points |
1.34
|
|
MandE | 23.82 sec | 1625.72 |
1575.17
|
points |
0.97
|
|
mcad | 60.22 sec | 2612.50 |
3772.91
|
points |
1.44
|
|
mozillaVS | 30.21 sec | 7708.43 |
13092.30
|
points |
1.70
|
|
namd | 18.71 sec | 1250.61 |
1213.89
|
points |
0.97
|
|
proddev | 20.97 sec | 659.82 |
503.41
|
points |
0.76
|
System Configuration Details
MOTHERBOARD
Name: 0F4Y1MModel: Precision 5860 Tower
Version: A01
Manufacturer: Dell Inc.
Serial Number: /4ZRY624/CNFCW003AA0048/
BIOS: Dell Inc. 2.4.1
BIOS Version: INTEL - 0 (2024-09-11)
PROCESSOR
CPU #1: Intel(R) Xeon(R) w7-2495X (2496MHz / 24C / 48T)
MEMORY
(DIMM1): Micron Technology MTC20F2085S1RC48BA1 NHFF (32.00 GB / 4400 MHz / DDR5)(DIMM5): Micron Technology MTC20F2085S1RC48BA1 NHFF (32.00 GB / 4400 MHz / DDR5)
(DIMM3): Micron Technology MTC20F2085S1RC48BA1 NHFF (32.00 GB / 4400 MHz / DDR5)
(DIMM7): Micron Technology MTC20F2085S1RC48BA1 NHFF (32.00 GB / 4400 MHz / DDR5)
(DIMM2): Micron Technology MTC20F2085S1RC48BA1 NHFF (32.00 GB / 4400 MHz / DDR5)
(DIMM6): Micron Technology MTC20F2085S1RC48BA1 NHFF (32.00 GB / 4400 MHz / DDR5)
(DIMM4): Micron Technology MTC20F2085S1RC48BA1 NHFF (32.00 GB / 4400 MHz / DDR5)
(DIMM8): Micron Technology MTC20F2085S1RC48BA1 NHFF (32.00 GB / 4400 MHz / DDR5)
Total Memory: 256.00 GB
STORAGE
Disk #1: NVMe KXG80ZNV2T04 NVM (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 (1619.04 GB of 1904.67 GB Available)
NETWORK
Adapter #1: Marvell AQtion 10Gbit Network AdapterType: Ethernet 802.3 | MAC: 00:4E:01:FD:24:F7 | Speed: Not Connected
Adapter #2: Intel(R) Ethernet Connection (17) I219-LM
Type: Ethernet 802.3 | MAC: 00:4E:01:FD:24:F6 | Speed: Not Connected
GRAPHICS
Adapter #1: NVIDIA RTX 5000 Ada GenerationVideo Memory: 31.99 GB
Current Resolution: 3840x2160 @ 59 Hz (32-bit Color)
Driver Version: 31.0.15.5324 (2024-10-07)
DISPLAY
Display #1: DELL INC. DELL U3219Q 31.5" (3840x2160)Model: A124 | S/N: 5W0Q413 | Connector: External DisplayPort (Digital)
Windows Screens
Screen 1: 1920x1080 @ 32 bpp
OPERATING SYSTEM
Name: Microsoft Windows 11 Pro for Workstations 64-bitVersion: 10.0.22631.4391 (Release 2009)
Installation Date: 2024-08-14
Free Memory: 242.37 GB (Physical) | 256.28 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)