ASUS System Product Name
Geekbench ML Score
21061
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 28 2025 04:58 AM |
| Views | 14 |
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% |
11679
2.19 KIPS |
|
|
Image Classification (F16)
|
100% |
11896
2.23 KIPS |
|
|
Image Classification (I8)
|
100% |
9712
1.82 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13838
231.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
13629
227.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
12832
214.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
230752
279.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
234533
284.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
208460
252.4 IPS |
|
|
Object Detection (F32)
|
100% |
5288
394.8 IPS |
|
|
Object Detection (F16)
|
100% |
5225
390.1 IPS |
|
|
Object Detection (I8)
|
56% |
4661
348.0 IPS |
|
|
Face Detection (F32)
|
100% |
40747
484.5 IPS |
|
|
Face Detection (F16)
|
100% |
39897
474.4 IPS |
|
|
Face Detection (I8)
|
88% |
33500
398.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
65331
506.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
65762
510.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
50775
393.8 IPS |
|
|
Style Transfer (F32)
|
100% |
215170
283.0 IPS |
|
|
Style Transfer (F16)
|
100% |
220655
290.3 IPS |
|
|
Style Transfer (I8)
|
98% |
201919
265.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23431
836.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23390
835.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17394
621.2 IPS |
|
|
Text Classification (F32)
|
100% |
3561
5.12 KIPS |
|
|
Text Classification (F16)
|
100% |
3430
4.93 KIPS |
|
|
Text Classification (I8)
|
98% |
2020
2.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
4178
76.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4045
74.4 IPS |
|
|
Machine Translation (I8)
|
70% |
2358
43.4 IPS |
