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 3280 Compact |
CPU | Intel(R) Core(TM) i9-14900 |
Memory | 64.00 GB @ 5600 MHz |
GPU | 1x NVIDIA RTX 4000 SFF Ada Generation 1x Intel(R) UHD Graphics 770 |
Display | DELL E2416H 24.0" (1920x1080) |
Storage | NVMe 3500 Micron 1024GB 953.86 GB - SCSI |
OS | Microsoft Windows 11 Pro (26100) |
Submission Details
Result Date | Tue Nov 19 2024 22:18:23 GMT-0800 (Pacific Standard Time) |
Submitter Company | |
Submitter Name | |
Submitter Comments |
Industry Vertical Scores
AI & Machine Learning |
1.89 |
Energy |
1.83 |
Financial Services |
1.07 |
Life Sciences |
2.18 |
Media & Entertainment |
2.10 |
Product Design |
2.16 |
Productivity & Development |
1.38 |
Hardware Subsystem Scores
CPU | 1.53 |
Accelerator | 4.02 |
Graphics | 6.55 |
Storage | 1.36 |
Workload | SPEC Ratio |
---|---|
7-Zip | 3.66 |
Autodesk Inventor | 1.04 |
Blender | 1.64 |
Convolution | 1.29 |
Data Science | 1.60 |
HandBrake | 1.71 |
Hidden Line Removal | 1.36 |
LAMMPS | 1.56 |
LLVM Clang | 1.48 |
LuxCoreRender | 1.45 |
MFEM | 1.43 |
NAMD | 1.38 |
Octave | 1.19 |
ONNX Inference | 2.24 |
OpenFOAM | 7.22 |
Options Pricing | 1.07 |
Poisson | 1.43 |
Python 3 | 1.18 |
Rodinia CFD | 2.06 |
Rodinia Life Sciences | 1.46 |
SRMP | 1.14 |
Viewport Graphics | 6.55 |
WPCstorage | 1.36 |
Industry Vertical Scores
AI & Machine Learning | 1.89 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Data Science |
|
|||
Pandas | 131.99 |
102.26
|
sec |
1.29
|
Scikit-learn | 449.17 |
249.03
|
sec |
1.80
|
XGBoost | 91.50 |
51.83
|
sec |
1.77
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
50.70
|
ms |
1.26
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
19.17
|
inferences/sec |
1.05
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
27.84
|
ms |
0.80
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
54.58
|
inferences/sec |
1.17
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
51.72
|
ms |
1.13
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
25.86
|
inferences/sec |
1.24
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
21.05
|
ms |
1.01
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
67.27
|
inferences/sec |
1.20
|
GPU ResNet50-FP32-batch32 Throughput | 3.92 |
23.83
|
inferences/sec |
6.08
|
GPU ResNet50-INT8-batch32 Throughput | 1.92 |
45.90
|
inferences/sec |
23.90
|
GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
23.57
|
inferences/sec |
3.58
|
GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
27.86
|
inferences/sec |
14.50
|
Industry Vertical Scores
Energy | 1.83 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Convolution |
|
|||
20K/100 | 0.09 |
0.12
|
iterations/sec |
1.29
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
22.87
|
iterations/sec |
1.42
|
Jacobi Square Grid | 6.19 |
8.94
|
iterations/sec |
1.44
|
SRMP |
|
|||
2D | 19.45 |
17.08
|
sec |
1.14
|
Viewport Graphics |
|
|||
energy | 11.48 |
90.66
|
fps |
7.90
|
WPCstorage |
|
|||
energy | 1547.93 |
1907.26
|
points |
1.23
|
Industry Vertical Scores
Financial Services | 1.07 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
38489.13
|
options/sec |
1.10
|
Black-Scholes | 3389.63 |
3968.54
|
Moptions/sec |
1.17
|
Binomial | 79377.62 |
75311.45
|
options/sec |
0.95
|
Industry Vertical Scores
Life Sciences | 2.18 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
LAMMPS |
|
|||
LJ | 705.82 |
1101.05
|
tau/day |
1.56
|
CHAIN | 1190.35 |
2191.40
|
tau/day |
1.84
|
EAM | 0.63 |
0.97
|
ns/day |
1.54
|
CHUTE | 38.25 |
55.53
|
tau/day |
1.45
|
RHODO | 0.26 |
0.38
|
ns/day |
1.44
|
NAMD |
|
|||
apoa1 | 45.38 |
34.45
|
ms/step |
1.32
|
f1atpase | 130.50 |
97.48
|
ms/step |
1.34
|
stmv | 448.57 |
305.87
|
ms/step |
1.47
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
0.99
|
fps |
1.43
|
HotSpot | 8.55 |
5.55
|
sec |
1.54
|
LavaMD | 0.07 |
0.10
|
iterations/sec |
1.46
|
SRAD | 47.04 |
65.91
|
iterations/sec |
1.40
|
Viewport Graphics |
|
|||
medical | 9.63 |
106.41
|
fps |
11.00
|
WPCstorage |
|
|||
namd | 1250.61 |
1779.14
|
points |
1.42
|
Industry Vertical Scores
Media & Entertainment | 2.10 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Blender |
|
|||
Classroom | 281.72 |
67.86
|
sec |
4.15
|
BMW27 | 43.82 |
34.08
|
sec |
1.29
|
BMW1M | 17.74 |
13.55
|
sec |
1.31
|
Island | 29.68 |
28.50
|
sec |
1.04
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
138.93
|
sec |
1.40
|
x265 4K to 1080p | 38.36 |
32.81
|
sec |
1.17
|
x265 4K to 4K | 107.73 |
87.54
|
sec |
1.23
|
x264 1080p to 1080p | 49.98 |
12.08
|
sec |
4.14
|
GPU H.265 4K to 4K | 169.65 |
173.88
|
fps |
1.02
|
GPU H.265 4K to 1080p | 128.84 |
380.90
|
fps |
2.96
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
3.98
|
Msamples/sec |
1.62
|
Food | 1.84 |
2.74
|
Msamples/sec |
1.49
|
Danish Mood | 2.29 |
2.93
|
Msamples/sec |
1.28
|
Procedural Leaves | 1.10 |
1.56
|
Msamples/sec |
1.42
|
Viewport Graphics |
|
|||
3dsmax | 15.96 |
127.24
|
fps |
7.97
|
maya | 62.09 |
361.76
|
fps |
5.83
|
WPCstorage |
|
|||
3dsmax | 3299.42 |
6730.70
|
points |
2.04
|
handbrake | 1897.99 |
2563.96
|
points |
1.35
|
maya | 2037.06 |
2779.66
|
points |
1.36
|
MayaVenice | 472.63 |
777.53
|
points |
1.65
|
MandE | 1625.72 |
1846.93
|
points |
1.14
|
Industry Vertical Scores
Product Design | 2.16 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
4178.00
|
ms |
1.02
|
Create/Update Files | 4973.68 |
4667.00
|
ms |
1.07
|
Rebuild | 10590.28 |
9349.00
|
ms |
1.13
|
Render Style/Material | 628.78 |
662.00
|
ms |
0.95
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
33.00
|
fps |
1.36
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
159.15
|
sec |
1.43
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
111.25
|
sec |
7.22
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
285.17
|
iterations/sec |
2.06
|
Viewport Graphics |
|
|||
catia | 17.57 |
81.50
|
fps |
4.64
|
creo | 48.42 |
208.42
|
fps |
4.30
|
solidworks | 42.90 |
275.15
|
fps |
6.41
|
WPCstorage |
|
|||
ccx | 1398.45 |
1966.96
|
points |
1.41
|
cfd | 1921.51 |
2660.60
|
points |
1.38
|
icePack | 1543.34 |
2574.24
|
points |
1.67
|
mcad | 2612.50 |
4824.38
|
points |
1.85
|
proddev | 659.82 |
695.60
|
points |
1.05
|
Industry Vertical Scores
Productivity & Development | 1.38 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
12.65
|
sec |
1.27
|
Compression | 254.57 |
44.24
|
sec |
5.75
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
380.56
|
sec |
1.48
|
Octave |
|
|||
obench | 1.20 |
1.01
|
sec/operation |
1.19
|
benchmark2 | 0.11 |
0.09
|
sec/operation |
1.19
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.53
|
sec |
0.68
|
NumPy Add Matrix | 4.44 |
4.11
|
sec |
1.08
|
NumPy Multiply Matrix | 8.06 |
7.14
|
sec |
1.13
|
NumPy Invert Matrix | 15.53 |
12.48
|
sec |
1.24
|
NumPy Sin Matrix | 2.67 |
2.47
|
sec |
1.08
|
Multi-Matrix | 65.50 |
48.19
|
sec |
1.36
|
WPCstorage |
|
|||
7zip | 431.06 |
474.96
|
points |
1.10
|
mozillaVS | 7708.43 |
6822.97
|
points |
0.89
|
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
4.02
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
HandBrake |
|
|||
GPU H.265 4K to 4K | 169.65 |
173.88
|
fps |
1.02
|
GPU H.265 4K to 1080p | 128.84 |
380.90
|
fps |
2.96
|
ONNX Inference |
|
|||
GPU ResNet50-FP32-batch32 Throughput | 3.92 |
23.83
|
inferences/sec |
6.08
|
GPU ResNet50-INT8-batch32 Throughput | 1.92 |
45.90
|
inferences/sec |
23.90
|
GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
23.57
|
inferences/sec |
3.58
|
GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
27.86
|
inferences/sec |
14.50
|
1.53
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
12.65
|
sec |
1.27
|
Compression | 254.57 |
44.24
|
sec |
5.75
|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
4178.00
|
ms |
1.02
|
Create/Update Files | 4973.68 |
4667.00
|
ms |
1.07
|
Rebuild | 10590.28 |
9349.00
|
ms |
1.13
|
Render Style/Material | 628.78 |
662.00
|
ms |
0.95
|
Blender |
|
|||
Classroom | 281.72 |
67.86
|
sec |
4.15
|
BMW27 | 43.82 |
34.08
|
sec |
1.29
|
BMW1M | 17.74 |
13.55
|
sec |
1.31
|
Island | 29.68 |
28.50
|
sec |
1.04
|
Convolution |
|
|||
20K/100 | 0.09 |
0.12
|
iterations/sec |
1.29
|
Data Science |
|
|||
Pandas | 131.99 |
102.26
|
sec |
1.29
|
Scikit-learn | 449.17 |
249.03
|
sec |
1.80
|
XGBoost | 91.50 |
51.83
|
sec |
1.77
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
138.93
|
sec |
1.40
|
x265 4K to 1080p | 38.36 |
32.81
|
sec |
1.17
|
x265 4K to 4K | 107.73 |
87.54
|
sec |
1.23
|
x264 1080p to 1080p | 49.98 |
12.08
|
sec |
4.14
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
33.00
|
fps |
1.36
|
LAMMPS |
|
|||
LJ | 705.82 |
1101.05
|
tau/day |
1.56
|
CHAIN | 1190.35 |
2191.40
|
tau/day |
1.84
|
EAM | 0.63 |
0.97
|
ns/day |
1.54
|
CHUTE | 38.25 |
55.53
|
tau/day |
1.45
|
RHODO | 0.26 |
0.38
|
ns/day |
1.44
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
380.56
|
sec |
1.48
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
3.98
|
Msamples/sec |
1.62
|
Food | 1.84 |
2.74
|
Msamples/sec |
1.49
|
Danish Mood | 2.29 |
2.93
|
Msamples/sec |
1.28
|
Procedural Leaves | 1.10 |
1.56
|
Msamples/sec |
1.42
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
159.15
|
sec |
1.43
|
NAMD |
|
|||
apoa1 | 45.38 |
34.45
|
ms/step |
1.32
|
f1atpase | 130.50 |
97.48
|
ms/step |
1.34
|
stmv | 448.57 |
305.87
|
ms/step |
1.47
|
Octave |
|
|||
obench | 1.20 |
1.01
|
sec/operation |
1.19
|
benchmark2 | 0.11 |
0.09
|
sec/operation |
1.19
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
50.70
|
ms |
1.26
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
19.17
|
inferences/sec |
1.05
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
27.84
|
ms |
0.80
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
54.58
|
inferences/sec |
1.17
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
51.72
|
ms |
1.13
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
25.86
|
inferences/sec |
1.24
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
21.05
|
ms |
1.01
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
67.27
|
inferences/sec |
1.20
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
111.25
|
sec |
7.22
|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
38489.13
|
options/sec |
1.10
|
Black-Scholes | 3389.63 |
3968.54
|
Moptions/sec |
1.17
|
Binomial | 79377.62 |
75311.45
|
options/sec |
0.95
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
22.87
|
iterations/sec |
1.42
|
Jacobi Square Grid | 6.19 |
8.94
|
iterations/sec |
1.44
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.53
|
sec |
0.68
|
NumPy Add Matrix | 4.44 |
4.11
|
sec |
1.08
|
NumPy Multiply Matrix | 8.06 |
7.14
|
sec |
1.13
|
NumPy Invert Matrix | 15.53 |
12.48
|
sec |
1.24
|
NumPy Sin Matrix | 2.67 |
2.47
|
sec |
1.08
|
Multi-Matrix | 65.50 |
48.19
|
sec |
1.36
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
285.17
|
iterations/sec |
2.06
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
0.99
|
fps |
1.43
|
HotSpot | 8.55 |
5.55
|
sec |
1.54
|
LavaMD | 0.07 |
0.10
|
iterations/sec |
1.46
|
SRAD | 47.04 |
65.91
|
iterations/sec |
1.40
|
SRMP |
|
|||
2D | 19.45 |
17.08
|
sec |
1.14
|
6.55
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Viewport Graphics |
|
|||
3dsmax | 15.96 |
127.24
|
fps |
7.97
|
catia | 17.57 |
81.50
|
fps |
4.64
|
creo | 48.42 |
208.42
|
fps |
4.30
|
energy | 11.48 |
90.66
|
fps |
7.90
|
maya | 62.09 |
361.76
|
fps |
5.83
|
medical | 9.63 |
106.41
|
fps |
11.00
|
solidworks | 42.90 |
275.15
|
fps |
6.41
|
1.36
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
WPCstorage |
|
|||
3dsmax | 3299.42 |
6730.70
|
points |
2.04
|
7zip | 431.06 |
474.96
|
points |
1.10
|
ccx | 1398.45 |
1966.96
|
points |
1.41
|
cfd | 1921.51 |
2660.60
|
points |
1.38
|
energy | 1547.93 |
1907.26
|
points |
1.23
|
handbrake | 1897.99 |
2563.96
|
points |
1.35
|
icePack | 1543.34 |
2574.24
|
points |
1.67
|
maya | 2037.06 |
2779.66
|
points |
1.36
|
MayaVenice | 472.63 |
777.53
|
points |
1.65
|
MandE | 1625.72 |
1846.93
|
points |
1.14
|
mcad | 2612.50 |
4824.38
|
points |
1.85
|
mozillaVS | 7708.43 |
6822.97
|
points |
0.89
|
namd | 1250.61 |
1779.14
|
points |
1.42
|
proddev | 659.82 |
695.60
|
points |
1.05
|
Workload Scores
Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|---|---|
7-Zip | Nov 19, 2024, 10:18:23 PM PST |
3.66
|
||||
Decompression | 12.65 sec | 16.04 |
12.65
|
sec |
1.27
|
|
Compression | 44.24 sec | 254.57 |
44.24
|
sec |
5.75
|
|
Autodesk Inventor | Nov 19, 2024, 10:19:24 PM PST |
1.04
|
||||
Open Document | 4.39 sec | 4253.73 |
4178.00
|
ms |
1.02
|
|
Create/Update Files | 6.42 sec | 4973.68 |
4667.00
|
ms |
1.07
|
|
Rebuild | 9.57 sec | 10590.28 |
9349.00
|
ms |
1.13
|
|
Render Style/Material | 0.85 sec | 628.78 |
662.00
|
ms |
0.95
|
|
Blender | Nov 19, 2024, 10:20:07 PM PST |
1.64
|
||||
Classroom | 67.86 sec | 281.72 |
67.86
|
sec |
4.15
|
|
BMW27 | 34.08 sec | 43.82 |
34.08
|
sec |
1.29
|
|
BMW1M | 13.55 sec | 17.74 |
13.55
|
sec |
1.31
|
|
Island | 28.50 sec | 29.68 |
28.50
|
sec |
1.04
|
|
Convolution | Nov 19, 2024, 10:22:35 PM PST |
1.29
|
||||
20K/100 | 36.00 sec | 0.09 |
0.12
|
iterations/sec |
1.29
|
|
Data Science | Nov 19, 2024, 10:23:11 PM PST |
1.60
|
||||
Pandas | 105.33 sec | 131.99 |
102.26
|
sec |
1.29
|
|
Scikit-learn | 253.04 sec | 449.17 |
249.03
|
sec |
1.80
|
|
XGBoost | 70.75 sec | 91.50 |
51.83
|
sec |
1.77
|
|
HandBrake | Nov 19, 2024, 10:30:32 PM PST |
1.71
|
||||
SVT-AV1 8K to 4K | 138.93 sec | 195.16 |
138.93
|
sec |
1.40
|
|
x265 4K to 1080p | 34.64 sec | 38.36 |
32.81
|
sec |
1.17
|
|
x265 4K to 4K | 89.45 sec | 107.73 |
87.54
|
sec |
1.23
|
|
x264 1080p to 1080p | 12.08 sec | 49.98 |
12.08
|
sec |
4.14
|
|
GPU H.265 4K to 4K | 56.75 sec | 169.65 |
128.68
|
fps |
0.76
|
|
GPU H.265 4K to 4K | 50.66 sec | 169.65 |
173.88
|
fps |
1.02
|
|
GPU H.265 4K to 1080p | 182.05 sec | 128.84 |
380.90
|
fps |
2.96
|
|
GPU H.265 4K to 1080p | 210.84 sec | 128.84 |
203.20
|
fps |
1.58
|
|
Hidden Line Removal | Nov 19, 2024, 10:43:34 PM PST |
1.36
|
||||
Palatov | 16.53 sec | 24.29 |
33.00
|
fps |
1.36
|
|
Palatov | 16.70 sec | 24.29 |
31.18
|
fps |
1.28
|
|
LAMMPS | Nov 19, 2024, 10:44:08 PM PST |
1.56
|
||||
LJ | 13.65 sec | 705.82 |
1101.05
|
tau/day |
1.56
|
|
CHAIN | 11.19 sec | 1190.35 |
2191.40
|
tau/day |
1.84
|
|
EAM | 14.39 sec | 0.63 |
0.97
|
ns/day |
1.54
|
|
CHUTE | 7.70 sec | 38.25 |
55.53
|
tau/day |
1.45
|
|
RHODO | 7.39 sec | 0.26 |
0.38
|
ns/day |
1.44
|
|
LLVM Clang | Nov 19, 2024, 10:45:02 PM PST |
1.48
|
||||
PyTorch | 400.30 sec | 562.76 |
380.56
|
sec |
1.48
|
|
LuxCoreRender | Nov 19, 2024, 10:52:31 PM PST |
1.45
|
||||
DLSC | 12.61 sec | 2.46 |
3.98
|
Msamples/sec |
1.62
|
|
Food | 20.48 sec | 1.84 |
2.74
|
Msamples/sec |
1.49
|
|
Danish Mood | 51.56 sec | 2.29 |
2.93
|
Msamples/sec |
1.28
|
|
Procedural Leaves | 35.13 sec | 1.10 |
1.56
|
Msamples/sec |
1.42
|
|
MFEM | Nov 19, 2024, 10:54:31 PM PST |
1.43
|
||||
Dynamic AMR | 159.15 sec | 227.39 |
159.15
|
sec |
1.43
|
|
NAMD | Nov 19, 2024, 10:57:10 PM PST |
1.38
|
||||
apoa1 | 13.00 sec | 45.38 |
34.45
|
ms/step |
1.32
|
|
f1atpase | 21.69 sec | 130.50 |
97.48
|
ms/step |
1.34
|
|
stmv | 40.70 sec | 448.57 |
305.87
|
ms/step |
1.47
|
|
Octave | Nov 19, 2024, 10:58:26 PM PST |
1.19
|
||||
obench | 65.57 sec | 1.20 |
1.01
|
sec/operation |
1.19
|
|
benchmark2 | 10.61 sec | 0.11 |
0.09
|
sec/operation |
1.19
|
|
ONNX Inference | Nov 19, 2024, 10:59:51 PM PST |
2.24
|
||||
CPU ResNet50-FP32-batch8 Latency | 20.37 sec | 63.72 |
50.70
|
ms |
1.26
|
|
CPU ResNet50-FP32-batch8 Throughput | 21.39 sec | 18.33 |
18.53
|
inferences/sec |
1.01
|
|
CPU ResNet50-FP32-batch8 Throughput | 21.98 sec | 18.33 |
19.17
|
inferences/sec |
1.05
|
|
CPU ResNet50-INT8-batch8 Latency | 20.18 sec | 22.37 |
27.84
|
ms |
0.80
|
|
CPU ResNet50-INT8-batch8 Throughput | 20.72 sec | 46.62 |
40.53
|
inferences/sec |
0.87
|
|
CPU ResNet50-INT8-batch8 Throughput | 20.70 sec | 46.62 |
54.58
|
inferences/sec |
1.17
|
|
CPU SuperResolution-FP32-batch8 Latency | 20.15 sec | 58.42 |
51.72
|
ms |
1.13
|
|
CPU SuperResolution-FP32-batch8 Throughput | 20.98 sec | 20.87 |
25.86
|
inferences/sec |
1.24
|
|
CPU SuperResolution-FP32-batch8 Throughput | 21.39 sec | 20.87 |
22.65
|
inferences/sec |
1.09
|
|
CPU SuperResolution-INT8-batch8 Latency | 20.10 sec | 21.34 |
21.05
|
ms |
1.01
|
|
CPU SuperResolution-INT8-batch8 Throughput | 20.46 sec | 55.92 |
67.27
|
inferences/sec |
1.20
|
|
CPU SuperResolution-INT8-batch8 Throughput | 20.67 sec | 55.92 |
62.30
|
inferences/sec |
1.11
|
|
GPU ResNet50-FP32-batch32 Throughput | 20.66 sec | 3.92 |
23.83
|
inferences/sec |
6.08
|
|
GPU ResNet50-FP32-batch32 Throughput | 20.57 sec | 3.92 |
23.57
|
inferences/sec |
6.01
|
|
GPU ResNet50-INT8-batch32 Throughput | 20.55 sec | 1.92 |
45.90
|
inferences/sec |
23.90
|
|
GPU ResNet50-INT8-batch32 Throughput | 20.57 sec | 1.92 |
45.68
|
inferences/sec |
23.80
|
|
GPU SuperResolution-FP32-batch32 Throughput | 21.10 sec | 6.59 |
23.57
|
inferences/sec |
3.58
|
|
GPU SuperResolution-FP32-batch32 Throughput | 21.08 sec | 6.59 |
23.29
|
inferences/sec |
3.53
|
|
GPU SuperResolution-INT8-batch32 Throughput | 21.10 sec | 1.92 |
27.86
|
inferences/sec |
14.50
|
|
GPU SuperResolution-INT8-batch32 Throughput | 21.09 sec | 1.92 |
27.77
|
inferences/sec |
14.50
|
|
OpenFOAM | Nov 19, 2024, 11:06:48 PM PST |
7.22
|
||||
XiFoam Solver | 121.45 sec | 803.27 |
112.25
|
sec |
7.16
|
|
XiFoam Solver | 119.88 sec | 803.27 |
111.25
|
sec |
7.22
|
|
Options Pricing | Nov 19, 2024, 11:10:53 PM PST |
1.07
|
||||
Monte Carlo | 27.32 sec | 35137.48 |
38489.13
|
options/sec |
1.10
|
|
Black-Scholes | 17.82 sec | 3389.63 |
3968.54
|
Moptions/sec |
1.17
|
|
Binomial | 13.98 sec | 79377.62 |
75311.45
|
options/sec |
0.95
|
|
Poisson | Nov 19, 2024, 11:11:52 PM PST |
1.43
|
||||
Jacobi Rectangular Grid | 10.08 sec | 16.05 |
22.87
|
iterations/sec |
1.42
|
|
Jacobi Rectangular Grid | 10.05 sec | 16.05 |
22.83
|
iterations/sec |
1.42
|
|
Jacobi Square Grid | 10.09 sec | 6.19 |
8.94
|
iterations/sec |
1.44
|
|
Jacobi Square Grid | 10.11 sec | 6.19 |
8.82
|
iterations/sec |
1.42
|
|
Python 3 | Nov 19, 2024, 11:12:32 PM PST |
1.18
|
||||
NumPy Create Matrix | 1.29 sec | 0.36 |
0.53
|
sec |
0.68
|
|
NumPy Add Matrix | 4.79 sec | 4.44 |
4.11
|
sec |
1.08
|
|
NumPy Multiply Matrix | 7.83 sec | 8.06 |
7.14
|
sec |
1.13
|
|
NumPy Invert Matrix | 13.17 sec | 15.53 |
12.48
|
sec |
1.24
|
|
NumPy Sin Matrix | 3.21 sec | 2.67 |
2.47
|
sec |
1.08
|
|
Multi-Matrix | 48.87 sec | 65.50 |
48.19
|
sec |
1.36
|
|
Rodinia CFD | Nov 19, 2024, 11:13:59 PM PST |
2.06
|
||||
Pre-Euler | 32.85 sec | 138.14 |
285.17
|
iterations/sec |
2.06
|
|
Rodinia Life Sciences | Nov 19, 2024, 11:14:32 PM PST |
1.46
|
||||
Heart Wall | 10.25 sec | 0.69 |
0.99
|
fps |
1.43
|
|
HotSpot | 6.58 sec | 8.55 |
5.55
|
sec |
1.54
|
|
LavaMD | 19.94 sec | 0.07 |
0.10
|
iterations/sec |
1.46
|
|
SRAD | 10.24 sec | 47.04 |
65.91
|
iterations/sec |
1.40
|
|
SRMP | Nov 19, 2024, 11:15:19 PM PST |
1.14
|
||||
2D | 17.54 sec | 19.45 |
17.08
|
sec |
1.14
|
|
Viewport Graphics | Nov 19, 2024, 11:15:37 PM PST |
6.55
|
||||
3dsmax | 123.78 sec | 15.96 |
127.24
|
fps |
7.97
|
|
catia | 111.65 sec | 17.57 |
81.50
|
fps |
4.64
|
|
creo | 118.73 sec | 48.42 |
208.42
|
fps |
4.30
|
|
energy | 80.27 sec | 11.48 |
90.66
|
fps |
7.90
|
|
maya | 95.69 sec | 62.09 |
361.76
|
fps |
5.83
|
|
medical | 73.65 sec | 9.63 |
106.41
|
fps |
11.00
|
|
solidworks | 65.48 sec | 42.90 |
275.15
|
fps |
6.41
|
|
WPCstorage | Nov 19, 2024, 11:27:40 PM PST |
1.36
|
||||
3dsmax | 38.45 sec | 3299.42 |
6730.70
|
points |
2.04
|
|
7zip | 44.71 sec | 431.06 |
474.96
|
points |
1.10
|
|
ccx | 11.48 sec | 1398.45 |
1966.96
|
points |
1.41
|
|
cfd | 11.87 sec | 1921.51 |
2660.60
|
points |
1.38
|
|
energy | 18.99 sec | 1547.93 |
1907.26
|
points |
1.23
|
|
handbrake | 14.43 sec | 1897.99 |
2563.96
|
points |
1.35
|
|
icePack | 42.25 sec | 1543.34 |
2574.24
|
points |
1.67
|
|
maya | 44.67 sec | 2037.06 |
2779.66
|
points |
1.36
|
|
MayaVenice | 24.87 sec | 472.63 |
777.53
|
points |
1.65
|
|
MandE | 17.83 sec | 1625.72 |
1846.93
|
points |
1.14
|
|
mcad | 46.52 sec | 2612.50 |
4824.38
|
points |
1.85
|
|
mozillaVS | 26.98 sec | 7708.43 |
6822.97
|
points |
0.89
|
|
namd | 15.30 sec | 1250.61 |
1779.14
|
points |
1.42
|
|
proddev | 17.77 sec | 659.82 |
695.60
|
points |
1.05
|
System Configuration Details
MOTHERBOARD
Name: 0H1DC6Model: Precision 3280 Compact
Version: A00
Manufacturer: Dell Inc.
Serial Number: /5SV7Z44/CNWS20045D00DQ/
BIOS: Dell Inc. 1.5.0
BIOS Version: DELL - 2 (2024-08-08)
PROCESSOR
CPU #1: Intel(R) Core(TM) i9-14900 (2000MHz / 24C / 32T)
MEMORY
(DIMM1): 802C0000802C MTC16C2085S1SC56BD1 (32.00 GB / 5600 MHz / DDR5)(DIMM2): 802C0000802C MTC16C2085S1SC56BD1 (32.00 GB / 5600 MHz / DDR5)
Total Memory: 64.00 GB
STORAGE
Disk #1: NVMe 3500 Micron 1024GB (953.86 GB - SCSI)Partition 1: GPT: System (0.29 GB)
Partition 2: GPT: Basic Data (951.05 GB)
Partition 3: GPT: Unknown (0.97 GB)
Partition 4: GPT: Unknown (1.43 GB)
Available Volumes
C: (OS): NTFS (631.30 GB of 951.05 GB Available)
NETWORK
Adapter #1: Intel(R) Wi-Fi 6E AX211 160MHzType: Ethernet 802.3 | MAC: 5C:B2:6D:45:AE:9D | Speed: Not Connected
Adapter #2: Intel(R) Ethernet Connection (17) I219-LM
Type: Ethernet 802.3 | MAC: D0:46:0C:86:C0:14 | Speed: Not Connected
Adapter #3: Bluetooth Device (Personal Area Network)
Type: Ethernet 802.3 | MAC: 5C:B2:6D:45:AE:A1 | Speed: Not Connected
GRAPHICS
Adapter #1: NVIDIA RTX 4000 SFF Ada GenerationVideo Memory: 20.00 GB
Current Resolution: 1920x1080 @ 60 Hz (32-bit Color)
Driver Version: 31.0.15.5309 (2024-09-12)
Adapter #2: Intel(R) UHD Graphics 770
Video Memory: 1.00 GB
Current Resolution: Unknown
Driver Version: 31.0.101.4953 (2023-11-06)
DISPLAY
Display #1: DELL INC. DELL E2416H 24.0" (1920x1080)Model: A0CA | S/N: 9DKC356106CU | Connector: External DisplayPort (Digital)
Windows Screens
Screen 1: 1920x1080 @ 32 bpp
OPERATING SYSTEM
Name: Microsoft Windows 11 Pro 64-bitVersion: 10.0.26100.2033 (Release 2009)
Installation Date: 2024-09-26
Free Memory: 56.30 GB (Physical) | 59.14 GB (Virtual) | 4.00 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Let Windows Choose
Virtualization Based Security (VBS): Running
Active Power Plan: Balanced (381b4222-f694-41f0-9685-ff5bb260df2e)
Active Power Slider Setting: Best Performance (ded574b5-45a0-4f42-8737-46345c09c238)