W790 WS R2.0
Geekbench ML Score
21714
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 12 2024 03:04 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | W790 WS R2.0 |
| Motherboard | ASRock W790 WS R2.0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) w7-2595X |
| Topology | 1 Processor, 26 Cores, 52 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 26 Cores |
| L1 Instruction Cache | 32.0 KB x 26 |
| L1 Data Cache | 48.0 KB x 26 |
| L2 Cache | 2.00 MB x 26 |
| L3 Cache | 48.8 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon PRO W7900 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9415
1.76 KIPS |
|
|
Image Classification (F16)
|
100% |
9298
1.74 KIPS |
|
|
Image Classification (I8)
|
100% |
7258
1.36 KIPS |
|
|
Image Segmentation (F32)
|
100% |
15488
258.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
14912
249.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
13894
232.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
206067
249.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
217566
263.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
190411
230.6 IPS |
|
|
Object Detection (F32)
|
100% |
6278
468.7 IPS |
|
|
Object Detection (F16)
|
100% |
6519
486.7 IPS |
|
|
Object Detection (I8)
|
56% |
6260
467.4 IPS |
|
|
Face Detection (F32)
|
100% |
33329
396.3 IPS |
|
|
Face Detection (F16)
|
100% |
33237
395.2 IPS |
|
|
Face Detection (I8)
|
88% |
29800
354.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
68748
533.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
66109
512.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
58830
456.2 IPS |
|
|
Style Transfer (F32)
|
100% |
371478
488.6 IPS |
|
|
Style Transfer (F16)
|
100% |
372972
490.6 IPS |
|
|
Style Transfer (I8)
|
98% |
335385
441.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
37724
1.35 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
39019
1.39 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
31996
1.14 KIPS |
|
|
Text Classification (F32)
|
100% |
2033
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
2395
3.44 KIPS |
|
|
Text Classification (I8)
|
98% |
1131
1.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
3569
65.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3570
65.7 IPS |
|
|
Machine Translation (I8)
|
70% |
2096
38.6 IPS |
