ASUS System Product Name
Geekbench ML Score
19896
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 05 2025 06:29 AM |
| Views | 2 |
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% |
11354
2.12 KIPS |
|
|
Image Classification (F16)
|
100% |
11478
2.15 KIPS |
|
|
Image Classification (I8)
|
100% |
9851
1.84 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14523
242.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
14345
239.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
13095
218.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
121836
147.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
123790
149.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
102301
123.9 IPS |
|
|
Object Detection (F32)
|
100% |
5630
420.3 IPS |
|
|
Object Detection (F16)
|
100% |
5877
438.8 IPS |
|
|
Object Detection (I8)
|
62% |
5346
399.1 IPS |
|
|
Face Detection (F32)
|
100% |
26441
314.4 IPS |
|
|
Face Detection (F16)
|
100% |
26802
318.7 IPS |
|
|
Face Detection (I8)
|
89% |
21381
254.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
54135
419.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
54358
421.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
40422
313.5 IPS |
|
|
Style Transfer (F32)
|
100% |
196369
258.3 IPS |
|
|
Style Transfer (F16)
|
100% |
195589
257.3 IPS |
|
|
Style Transfer (I8)
|
98% |
174655
229.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
32268
1.15 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
31617
1.13 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
24267
866.6 IPS |
|
|
Text Classification (F32)
|
100% |
3825
5.50 KIPS |
|
|
Text Classification (F16)
|
100% |
3743
5.38 KIPS |
|
|
Text Classification (I8)
|
98% |
2513
3.61 KIPS |
|
|
Machine Translation (F32)
|
100% |
5362
98.7 IPS |
|
|
Machine Translation (F16)
|
100% |
5370
98.8 IPS |
|
|
Machine Translation (I8)
|
70% |
3101
57.1 IPS |
