ASUS System Product Name
Geekbench ML Score
21251
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 20 2024 10:47 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E EXTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 96.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12126
2.27 KIPS |
|
|
Image Classification (F16)
|
100% |
11698
2.19 KIPS |
|
|
Image Classification (I8)
|
100% |
9636
1.80 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14126
235.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
14125
235.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
12851
214.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
229814
278.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
251299
304.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
198895
240.9 IPS |
|
|
Object Detection (F32)
|
100% |
5359
400.1 IPS |
|
|
Object Detection (F16)
|
100% |
5463
407.9 IPS |
|
|
Object Detection (I8)
|
56% |
4736
353.6 IPS |
|
|
Face Detection (F32)
|
100% |
38844
461.9 IPS |
|
|
Face Detection (F16)
|
100% |
39115
465.1 IPS |
|
|
Face Detection (I8)
|
88% |
33471
398.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
63803
494.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
65250
506.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
51869
402.2 IPS |
|
|
Style Transfer (F32)
|
100% |
228738
300.9 IPS |
|
|
Style Transfer (F16)
|
100% |
229453
301.8 IPS |
|
|
Style Transfer (I8)
|
98% |
208918
274.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
25223
900.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23253
830.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
19045
680.1 IPS |
|
|
Text Classification (F32)
|
100% |
3155
4.53 KIPS |
|
|
Text Classification (F16)
|
100% |
3496
5.02 KIPS |
|
|
Text Classification (I8)
|
98% |
1959
2.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
4183
77.0 IPS |
|
|
Machine Translation (F16)
|
100% |
4183
77.0 IPS |
|
|
Machine Translation (I8)
|
70% |
2335
43.0 IPS |
