ASUS System Product Name
Geekbench ML Score
19961
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 31 2025 06:00 AM |
| Views | 6 |
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% |
11563
2.16 KIPS |
|
|
Image Classification (F16)
|
100% |
11395
2.13 KIPS |
|
|
Image Classification (I8)
|
100% |
9791
1.83 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14506
242.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
14293
238.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
13241
221.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
121435
147.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
121814
147.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
109066
132.1 IPS |
|
|
Object Detection (F32)
|
100% |
5860
437.5 IPS |
|
|
Object Detection (F16)
|
100% |
5755
429.7 IPS |
|
|
Object Detection (I8)
|
62% |
5302
395.8 IPS |
|
|
Face Detection (F32)
|
100% |
26389
313.8 IPS |
|
|
Face Detection (F16)
|
100% |
26602
316.3 IPS |
|
|
Face Detection (I8)
|
89% |
19871
236.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
55112
427.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
54394
421.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
42864
332.4 IPS |
|
|
Style Transfer (F32)
|
100% |
198185
260.7 IPS |
|
|
Style Transfer (F16)
|
100% |
192662
253.4 IPS |
|
|
Style Transfer (I8)
|
98% |
176063
231.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
32547
1.16 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
33882
1.21 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
23794
849.7 IPS |
|
|
Text Classification (F32)
|
100% |
3816
5.48 KIPS |
|
|
Text Classification (F16)
|
100% |
3864
5.55 KIPS |
|
|
Text Classification (I8)
|
98% |
2475
3.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
5177
95.3 IPS |
|
|
Machine Translation (F16)
|
100% |
5342
98.3 IPS |
|
|
Machine Translation (I8)
|
70% |
3110
57.2 IPS |
