ASUS System Product Name
Geekbench ML Score
19915
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 05:50 AM |
| Views | 4 |
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% |
11441
2.14 KIPS |
|
|
Image Classification (F16)
|
100% |
11436
2.14 KIPS |
|
|
Image Classification (I8)
|
100% |
9899
1.85 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14125
235.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
12148
202.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
13415
224.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
122902
148.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
123271
149.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
109482
132.6 IPS |
|
|
Object Detection (F32)
|
100% |
5820
434.5 IPS |
|
|
Object Detection (F16)
|
100% |
5863
437.7 IPS |
|
|
Object Detection (I8)
|
62% |
4854
362.4 IPS |
|
|
Face Detection (F32)
|
100% |
26735
317.9 IPS |
|
|
Face Detection (F16)
|
100% |
27018
321.2 IPS |
|
|
Face Detection (I8)
|
89% |
21312
253.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
54123
419.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
53110
411.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
43141
334.6 IPS |
|
|
Style Transfer (F32)
|
100% |
204886
269.5 IPS |
|
|
Style Transfer (F16)
|
100% |
207196
272.5 IPS |
|
|
Style Transfer (I8)
|
98% |
175303
230.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
32829
1.17 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
32613
1.16 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
24517
875.6 IPS |
|
|
Text Classification (F32)
|
100% |
3798
5.46 KIPS |
|
|
Text Classification (F16)
|
100% |
3683
5.29 KIPS |
|
|
Text Classification (I8)
|
98% |
2508
3.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
5310
97.7 IPS |
|
|
Machine Translation (F16)
|
100% |
5303
97.6 IPS |
|
|
Machine Translation (I8)
|
70% |
3135
57.7 IPS |
