ASUS System Product Name
Geekbench ML Score
26615
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 10:06 AM |
| Views | 5 |
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% |
13971
2.61 KIPS |
|
|
Image Classification (F16)
|
100% |
15438
2.89 KIPS |
|
|
Image Classification (I8)
|
100% |
13870
2.60 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14379
240.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
18759
313.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
18528
309.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
198269
240.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
206991
250.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
180119
218.1 IPS |
|
|
Object Detection (F32)
|
100% |
7135
532.7 IPS |
|
|
Object Detection (F16)
|
100% |
7568
565.0 IPS |
|
|
Object Detection (I8)
|
56% |
6409
478.5 IPS |
|
|
Face Detection (F32)
|
100% |
39742
472.5 IPS |
|
|
Face Detection (F16)
|
100% |
43515
517.4 IPS |
|
|
Face Detection (I8)
|
89% |
36088
429.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
74030
574.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
74038
574.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
61941
480.3 IPS |
|
|
Style Transfer (F32)
|
100% |
322536
424.3 IPS |
|
|
Style Transfer (F16)
|
100% |
339403
446.5 IPS |
|
|
Style Transfer (I8)
|
98% |
305807
402.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
40177
1.43 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
43482
1.55 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
19990
713.9 IPS |
|
|
Text Classification (F32)
|
100% |
3494
5.02 KIPS |
|
|
Text Classification (F16)
|
100% |
4537
6.52 KIPS |
|
|
Text Classification (I8)
|
98% |
2996
4.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
5711
105.1 IPS |
|
|
Machine Translation (F16)
|
100% |
6012
110.6 IPS |
|
|
Machine Translation (I8)
|
70% |
3674
67.6 IPS |
