ASUS System Product Name
Geekbench ML Score
21278
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 10 2025 04:55 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% |
12588
2.36 KIPS |
|
|
Image Classification (F16)
|
100% |
12227
2.29 KIPS |
|
|
Image Classification (I8)
|
100% |
10205
1.91 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14186
236.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
13654
228.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
11776
196.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
225392
272.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
221826
268.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
226897
274.8 IPS |
|
|
Object Detection (F32)
|
100% |
5500
410.6 IPS |
|
|
Object Detection (F16)
|
100% |
5231
390.5 IPS |
|
|
Object Detection (I8)
|
56% |
4777
356.6 IPS |
|
|
Face Detection (F32)
|
100% |
39649
471.4 IPS |
|
|
Face Detection (F16)
|
100% |
40188
477.8 IPS |
|
|
Face Detection (I8)
|
88% |
32989
392.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
66105
512.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
64959
503.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
49992
387.7 IPS |
|
|
Style Transfer (F32)
|
100% |
221901
291.9 IPS |
|
|
Style Transfer (F16)
|
100% |
227306
299.0 IPS |
|
|
Style Transfer (I8)
|
98% |
208667
274.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22471
802.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23879
852.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17784
635.1 IPS |
|
|
Text Classification (F32)
|
100% |
3602
5.18 KIPS |
|
|
Text Classification (F16)
|
100% |
3637
5.23 KIPS |
|
|
Text Classification (I8)
|
98% |
2028
2.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
4174
76.8 IPS |
|
|
Machine Translation (F16)
|
100% |
4172
76.8 IPS |
|
|
Machine Translation (I8)
|
70% |
2352
43.3 IPS |
