ASUS System Product Name
Geekbench ML Score
26252
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 14 2025 11:10 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 HERO |
| 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 9070 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
14235
2.66 KIPS |
|
|
Image Classification (F16)
|
100% |
15688
2.94 KIPS |
|
|
Image Classification (I8)
|
100% |
13984
2.62 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13053
218.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
19605
327.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
18474
308.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
188185
227.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
202579
245.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
190056
230.1 IPS |
|
|
Object Detection (F32)
|
100% |
7121
531.6 IPS |
|
|
Object Detection (F16)
|
100% |
7396
552.2 IPS |
|
|
Object Detection (I8)
|
56% |
6962
519.7 IPS |
|
|
Face Detection (F32)
|
100% |
39678
471.8 IPS |
|
|
Face Detection (F16)
|
100% |
44235
526.0 IPS |
|
|
Face Detection (I8)
|
89% |
36224
430.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
73972
573.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
72598
563.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
61496
476.9 IPS |
|
|
Style Transfer (F32)
|
100% |
251886
331.3 IPS |
|
|
Style Transfer (F16)
|
100% |
313962
413.0 IPS |
|
|
Style Transfer (I8)
|
98% |
312465
411.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
38032
1.36 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
29118
1.04 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
31511
1.13 KIPS |
|
|
Text Classification (F32)
|
100% |
4156
5.97 KIPS |
|
|
Text Classification (F16)
|
100% |
4090
5.88 KIPS |
|
|
Text Classification (I8)
|
98% |
2651
3.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
5653
104.0 IPS |
|
|
Machine Translation (F16)
|
100% |
6082
111.9 IPS |
|
|
Machine Translation (I8)
|
70% |
3419
62.9 IPS |
