ASUS System Product Name
Geekbench ML Score
18295
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 13 2025 10:53 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% |
9227
1.73 KIPS |
|
|
Image Classification (F16)
|
100% |
10733
2.01 KIPS |
|
|
Image Classification (I8)
|
100% |
8865
1.66 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9140
152.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
13582
226.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
11664
194.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
116946
141.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
119647
144.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
103237
125.0 IPS |
|
|
Object Detection (F32)
|
100% |
5392
402.6 IPS |
|
|
Object Detection (F16)
|
100% |
5663
422.8 IPS |
|
|
Object Detection (I8)
|
62% |
5283
394.4 IPS |
|
|
Face Detection (F32)
|
100% |
24594
292.4 IPS |
|
|
Face Detection (F16)
|
100% |
25921
308.2 IPS |
|
|
Face Detection (I8)
|
89% |
20064
238.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
51168
396.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
53660
416.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
43263
335.5 IPS |
|
|
Style Transfer (F32)
|
100% |
189292
249.0 IPS |
|
|
Style Transfer (F16)
|
100% |
205494
270.3 IPS |
|
|
Style Transfer (I8)
|
98% |
172948
227.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28562
1.02 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
30339
1.08 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
25073
895.4 IPS |
|
|
Text Classification (F32)
|
100% |
2885
4.15 KIPS |
|
|
Text Classification (F16)
|
100% |
3324
4.78 KIPS |
|
|
Text Classification (I8)
|
98% |
2157
3.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
4240
78.0 IPS |
|
|
Machine Translation (F16)
|
100% |
4759
87.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2701
49.7 IPS |
