Dell Inc. Precision 7875 Tower
Geekbench ML Score
3228
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 09:34 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 7875 Tower |
| Motherboard | Dell Inc. 00RP38 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 7975WX 32-Cores |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 32 Cores |
| L1 Instruction Cache | 32.0 KB x 32 |
| L1 Data Cache | 32.0 KB x 32 |
| L2 Cache | 1.00 MB x 32 |
| L3 Cache | 32.0 MB x 4 |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
955
178.8 IPS |
|
|
Image Classification (F16)
|
100% |
964
180.4 IPS |
|
|
Image Classification (I8)
|
99% |
2030
380.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1519
25.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1672
27.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2921
48.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
21256
25.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
21185
25.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
35446
42.9 IPS |
|
|
Object Detection (F32)
|
100% |
1253
93.5 IPS |
|
|
Object Detection (F16)
|
100% |
1272
95.0 IPS |
|
|
Object Detection (I8)
|
62% |
1054
78.7 IPS |
|
|
Face Detection (F32)
|
100% |
2861
34.0 IPS |
|
|
Face Detection (F16)
|
100% |
2821
33.5 IPS |
|
|
Face Detection (I8)
|
89% |
2980
35.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
8482
65.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8225
63.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
12178
94.4 IPS |
|
|
Style Transfer (F32)
|
100% |
21979
28.9 IPS |
|
|
Style Transfer (F16)
|
100% |
21552
28.4 IPS |
|
|
Style Transfer (I8)
|
98% |
29971
39.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1666
59.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1671
59.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2190
78.2 IPS |
|
|
Text Classification (F32)
|
100% |
993
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
1036
1.49 KIPS |
|
|
Text Classification (I8)
|
98% |
323
464.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1675
30.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1650
30.4 IPS |
|
|
Machine Translation (I8)
|
67% |
3081
56.7 IPS |
