ASUS System Product Name
Geekbench ML Score
20181
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 24 2025 05:32 AM |
| Views | 11 |
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% |
11669
2.18 KIPS |
|
|
Image Classification (F16)
|
100% |
11431
2.14 KIPS |
|
|
Image Classification (I8)
|
100% |
10030
1.88 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14245
237.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
14325
239.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
13409
223.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
120995
146.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
123205
149.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
109102
132.1 IPS |
|
|
Object Detection (F32)
|
100% |
5867
438.0 IPS |
|
|
Object Detection (F16)
|
100% |
5845
436.4 IPS |
|
|
Object Detection (I8)
|
62% |
5316
396.8 IPS |
|
|
Face Detection (F32)
|
100% |
26612
316.4 IPS |
|
|
Face Detection (F16)
|
100% |
26462
314.6 IPS |
|
|
Face Detection (I8)
|
89% |
21208
252.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
54647
423.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
54412
422.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
43534
337.6 IPS |
|
|
Style Transfer (F32)
|
100% |
203379
267.5 IPS |
|
|
Style Transfer (F16)
|
100% |
206864
272.1 IPS |
|
|
Style Transfer (I8)
|
98% |
174689
229.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
29584
1.06 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
31978
1.14 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
28521
1.02 KIPS |
|
|
Text Classification (F32)
|
100% |
3884
5.58 KIPS |
|
|
Text Classification (F16)
|
100% |
3791
5.45 KIPS |
|
|
Text Classification (I8)
|
98% |
2524
3.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
5403
99.4 IPS |
|
|
Machine Translation (F16)
|
100% |
5364
98.7 IPS |
|
|
Machine Translation (I8)
|
70% |
3140
57.8 IPS |
