ASUS System Product Name
Geekbench ML Score
19766
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 09 2026 08:10 AM |
| Views | 9 |
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% |
11328
2.12 KIPS |
|
|
Image Classification (F16)
|
100% |
11392
2.13 KIPS |
|
|
Image Classification (I8)
|
100% |
9744
1.82 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14457
241.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
14383
240.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
13259
221.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
122244
148.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
120338
145.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
109011
132.0 IPS |
|
|
Object Detection (F32)
|
100% |
5839
435.9 IPS |
|
|
Object Detection (F16)
|
100% |
5286
394.6 IPS |
|
|
Object Detection (I8)
|
62% |
5258
392.6 IPS |
|
|
Face Detection (F32)
|
100% |
26485
314.9 IPS |
|
|
Face Detection (F16)
|
100% |
26769
318.3 IPS |
|
|
Face Detection (I8)
|
89% |
20296
241.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
54285
421.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
54398
421.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
40222
311.9 IPS |
|
|
Style Transfer (F32)
|
100% |
194063
255.3 IPS |
|
|
Style Transfer (F16)
|
100% |
195430
257.1 IPS |
|
|
Style Transfer (I8)
|
98% |
173391
228.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
30375
1.08 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
34508
1.23 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
23149
826.7 IPS |
|
|
Text Classification (F32)
|
100% |
3762
5.41 KIPS |
|
|
Text Classification (F16)
|
100% |
3733
5.36 KIPS |
|
|
Text Classification (I8)
|
98% |
2450
3.52 KIPS |
|
|
Machine Translation (F32)
|
100% |
5312
97.7 IPS |
|
|
Machine Translation (F16)
|
100% |
5340
98.3 IPS |
|
|
Machine Translation (I8)
|
70% |
3142
57.8 IPS |
