ASUS System Product Name
Geekbench ML Score
27005
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 13 2026 09:03 AM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| 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 9070 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
14784
2.77 KIPS |
|
|
Image Classification (F16)
|
100% |
15149
2.83 KIPS |
|
|
Image Classification (I8)
|
100% |
13797
2.58 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13171
220.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
19453
324.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
18730
312.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
182823
221.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
212210
257.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
188412
228.2 IPS |
|
|
Object Detection (F32)
|
100% |
6808
508.2 IPS |
|
|
Object Detection (F16)
|
100% |
7251
541.4 IPS |
|
|
Object Detection (I8)
|
56% |
7026
524.6 IPS |
|
|
Face Detection (F32)
|
100% |
38186
454.0 IPS |
|
|
Face Detection (F16)
|
100% |
42345
503.5 IPS |
|
|
Face Detection (I8)
|
89% |
36676
436.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
73287
568.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
73945
573.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
60795
471.5 IPS |
|
|
Style Transfer (F32)
|
100% |
324745
427.2 IPS |
|
|
Style Transfer (F16)
|
100% |
337859
444.4 IPS |
|
|
Style Transfer (I8)
|
98% |
308434
405.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
38355
1.37 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
43956
1.57 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
37734
1.35 KIPS |
|
|
Text Classification (F32)
|
100% |
4175
6.00 KIPS |
|
|
Text Classification (F16)
|
100% |
4015
5.77 KIPS |
|
|
Text Classification (I8)
|
98% |
2658
3.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
5505
101.3 IPS |
|
|
Machine Translation (F16)
|
100% |
6181
113.8 IPS |
|
|
Machine Translation (I8)
|
70% |
3662
67.4 IPS |
