ASUS System Product Name
Geekbench ML Score
21406
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 05:25 AM |
| Views | 9 |
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 7900 XTX |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12192
2.28 KIPS |
|
|
Image Classification (F16)
|
100% |
12454
2.33 KIPS |
|
|
Image Classification (I8)
|
100% |
9898
1.85 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13915
232.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
13817
230.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
12707
212.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
247510
299.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
228587
276.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
210769
255.2 IPS |
|
|
Object Detection (F32)
|
100% |
5660
422.6 IPS |
|
|
Object Detection (F16)
|
100% |
5418
404.5 IPS |
|
|
Object Detection (I8)
|
56% |
4652
347.3 IPS |
|
|
Face Detection (F32)
|
100% |
39926
474.7 IPS |
|
|
Face Detection (F16)
|
100% |
38881
462.3 IPS |
|
|
Face Detection (I8)
|
88% |
33493
398.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
64041
496.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
65080
504.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
55708
432.0 IPS |
|
|
Style Transfer (F32)
|
100% |
215158
283.0 IPS |
|
|
Style Transfer (F16)
|
100% |
228252
300.2 IPS |
|
|
Style Transfer (I8)
|
98% |
206796
272.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23571
841.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22831
815.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18812
671.8 IPS |
|
|
Text Classification (F32)
|
100% |
3619
5.20 KIPS |
|
|
Text Classification (F16)
|
100% |
3621
5.20 KIPS |
|
|
Text Classification (I8)
|
98% |
1974
2.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
4210
77.5 IPS |
|
|
Machine Translation (F16)
|
100% |
4184
77.0 IPS |
|
|
Machine Translation (I8)
|
70% |
2336
43.0 IPS |
