ASUS System Product Name
Geekbench ML Score
19914
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 07:07 AM |
| Views | 10 |
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 9060 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11431
2.14 KIPS |
|
|
Image Classification (F16)
|
100% |
11362
2.13 KIPS |
|
|
Image Classification (I8)
|
100% |
9789
1.83 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14195
237.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
12833
214.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
13475
225.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
122807
148.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
121624
147.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
109324
132.4 IPS |
|
|
Object Detection (F32)
|
100% |
5754
429.5 IPS |
|
|
Object Detection (F16)
|
100% |
5850
436.7 IPS |
|
|
Object Detection (I8)
|
62% |
5321
397.3 IPS |
|
|
Face Detection (F32)
|
100% |
26573
316.0 IPS |
|
|
Face Detection (F16)
|
100% |
26433
314.3 IPS |
|
|
Face Detection (I8)
|
89% |
19668
233.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
54186
420.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
54541
423.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
43169
334.8 IPS |
|
|
Style Transfer (F32)
|
100% |
203248
267.4 IPS |
|
|
Style Transfer (F16)
|
100% |
197776
260.2 IPS |
|
|
Style Transfer (I8)
|
98% |
167894
220.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
32074
1.15 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
31654
1.13 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
26215
936.2 IPS |
|
|
Text Classification (F32)
|
100% |
3785
5.44 KIPS |
|
|
Text Classification (F16)
|
100% |
3892
5.59 KIPS |
|
|
Text Classification (I8)
|
98% |
2485
3.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
5369
98.8 IPS |
|
|
Machine Translation (F16)
|
100% |
5363
98.7 IPS |
|
|
Machine Translation (I8)
|
70% |
3102
57.1 IPS |
