ASUS System Product Name
Geekbench ML Score
21310
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 24 2025 06:06 AM |
| Views | 4 |
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% |
12138
2.27 KIPS |
|
|
Image Classification (F16)
|
100% |
11975
2.24 KIPS |
|
|
Image Classification (I8)
|
100% |
9620
1.80 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14233
237.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
13981
233.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
12884
215.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
249341
301.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
234653
284.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
212395
257.2 IPS |
|
|
Object Detection (F32)
|
100% |
5398
403.0 IPS |
|
|
Object Detection (F16)
|
100% |
5603
418.3 IPS |
|
|
Object Detection (I8)
|
56% |
4552
339.9 IPS |
|
|
Face Detection (F32)
|
100% |
39061
464.4 IPS |
|
|
Face Detection (F16)
|
100% |
39214
466.3 IPS |
|
|
Face Detection (I8)
|
88% |
33781
401.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
66213
513.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
63855
495.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
50995
395.5 IPS |
|
|
Style Transfer (F32)
|
100% |
227805
299.7 IPS |
|
|
Style Transfer (F16)
|
100% |
228905
301.1 IPS |
|
|
Style Transfer (I8)
|
98% |
211369
278.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24292
867.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24641
880.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17735
633.4 IPS |
|
|
Text Classification (F32)
|
100% |
3500
5.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3490
5.02 KIPS |
|
|
Text Classification (I8)
|
98% |
1942
2.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
4094
75.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4099
75.4 IPS |
|
|
Machine Translation (I8)
|
70% |
2263
41.6 IPS |
