ASUS System Product Name
Geekbench ML Score
19654
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 09 2025 10:16 AM |
| Views | 7 |
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% |
11469
2.15 KIPS |
|
|
Image Classification (F16)
|
100% |
11479
2.15 KIPS |
|
|
Image Classification (I8)
|
100% |
9794
1.83 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14044
234.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
14434
241.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
13455
224.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
123853
150.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
122302
148.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
109623
132.7 IPS |
|
|
Object Detection (F32)
|
100% |
5383
401.9 IPS |
|
|
Object Detection (F16)
|
100% |
5433
405.6 IPS |
|
|
Object Detection (I8)
|
62% |
4852
362.2 IPS |
|
|
Face Detection (F32)
|
100% |
26996
321.0 IPS |
|
|
Face Detection (F16)
|
100% |
26381
313.7 IPS |
|
|
Face Detection (I8)
|
89% |
21744
258.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
54997
426.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
53554
415.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
40760
316.1 IPS |
|
|
Style Transfer (F32)
|
100% |
197014
259.2 IPS |
|
|
Style Transfer (F16)
|
100% |
191420
251.8 IPS |
|
|
Style Transfer (I8)
|
98% |
170750
224.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
32330
1.15 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
22065
788.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
27324
975.8 IPS |
|
|
Text Classification (F32)
|
100% |
3899
5.60 KIPS |
|
|
Text Classification (F16)
|
100% |
3882
5.58 KIPS |
|
|
Text Classification (I8)
|
98% |
2482
3.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
5291
97.4 IPS |
|
|
Machine Translation (F16)
|
100% |
5306
97.6 IPS |
|
|
Machine Translation (I8)
|
70% |
3122
57.5 IPS |
