ASUS System Product Name
Geekbench ML Score
19173
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 08:50 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 9060 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11120
2.08 KIPS |
|
|
Image Classification (F16)
|
100% |
11141
2.08 KIPS |
|
|
Image Classification (I8)
|
100% |
8971
1.68 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13376
223.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
13518
225.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
12635
211.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
122262
148.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
118341
143.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
108561
131.5 IPS |
|
|
Object Detection (F32)
|
100% |
5607
418.6 IPS |
|
|
Object Detection (F16)
|
100% |
5764
430.3 IPS |
|
|
Object Detection (I8)
|
62% |
5261
392.8 IPS |
|
|
Face Detection (F32)
|
100% |
25815
306.9 IPS |
|
|
Face Detection (F16)
|
100% |
26092
310.2 IPS |
|
|
Face Detection (I8)
|
89% |
20403
242.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
52948
410.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
52770
409.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
42576
330.2 IPS |
|
|
Style Transfer (F32)
|
100% |
196482
258.5 IPS |
|
|
Style Transfer (F16)
|
100% |
202824
266.8 IPS |
|
|
Style Transfer (I8)
|
98% |
165975
218.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
30866
1.10 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
27787
992.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
25666
916.6 IPS |
|
|
Text Classification (F32)
|
100% |
3367
4.84 KIPS |
|
|
Text Classification (F16)
|
100% |
3395
4.88 KIPS |
|
|
Text Classification (I8)
|
98% |
2364
3.40 KIPS |
|
|
Machine Translation (F32)
|
100% |
4895
90.1 IPS |
|
|
Machine Translation (F16)
|
100% |
4894
90.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2899
53.3 IPS |
