Dell Inc. Precision 7875 Tower
Geekbench ML Score
13737
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 09:15 AM |
| Views | 5 |
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 | DirectML |
| Device | NVIDIA RTX A4000 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6741
1.26 KIPS |
|
|
Image Classification (F16)
|
100% |
6515
1.22 KIPS |
|
|
Image Classification (I8)
|
100% |
4863
910.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
11811
197.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
11233
187.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
8664
144.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
92998
112.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
93445
113.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
73734
89.3 IPS |
|
|
Object Detection (F32)
|
100% |
5072
378.7 IPS |
|
|
Object Detection (F16)
|
100% |
5615
419.2 IPS |
|
|
Object Detection (I8)
|
63% |
4192
313.0 IPS |
|
|
Face Detection (F32)
|
100% |
19780
235.2 IPS |
|
|
Face Detection (F16)
|
100% |
19658
233.7 IPS |
|
|
Face Detection (I8)
|
89% |
14361
170.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
35102
272.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
38251
296.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
24214
187.8 IPS |
|
|
Style Transfer (F32)
|
100% |
166074
218.5 IPS |
|
|
Style Transfer (F16)
|
100% |
148538
195.4 IPS |
|
|
Style Transfer (I8)
|
98% |
112801
148.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28496
1.02 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
27617
986.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15870
566.8 IPS |
|
|
Text Classification (F32)
|
100% |
2116
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
2119
3.05 KIPS |
|
|
Text Classification (I8)
|
98% |
1077
1.55 KIPS |
|
|
Machine Translation (F32)
|
100% |
3910
72.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3892
71.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1575
29.0 IPS |
