ASUS System Product Name
Geekbench ML Score
27203
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 27 2025 08:23 AM |
| Views | 7 |
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% |
14043
2.63 KIPS |
|
|
Image Classification (F16)
|
100% |
14050
2.63 KIPS |
|
|
Image Classification (I8)
|
100% |
13763
2.58 KIPS |
|
|
Image Segmentation (F32)
|
100% |
16921
282.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
19002
317.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
19151
319.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
207673
251.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
212861
257.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
190248
230.4 IPS |
|
|
Object Detection (F32)
|
100% |
7378
550.8 IPS |
|
|
Object Detection (F16)
|
100% |
7238
540.3 IPS |
|
|
Object Detection (I8)
|
56% |
6894
514.6 IPS |
|
|
Face Detection (F32)
|
100% |
42961
510.8 IPS |
|
|
Face Detection (F16)
|
100% |
43128
512.8 IPS |
|
|
Face Detection (I8)
|
89% |
36073
428.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
74000
573.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
76458
592.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
61443
476.5 IPS |
|
|
Style Transfer (F32)
|
100% |
339499
446.6 IPS |
|
|
Style Transfer (F16)
|
100% |
341159
448.8 IPS |
|
|
Style Transfer (I8)
|
98% |
285277
375.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
40610
1.45 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
41241
1.47 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
20074
716.9 IPS |
|
|
Text Classification (F32)
|
100% |
4594
6.60 KIPS |
|
|
Text Classification (F16)
|
100% |
4022
5.78 KIPS |
|
|
Text Classification (I8)
|
98% |
3104
4.46 KIPS |
|
|
Machine Translation (F32)
|
100% |
6163
113.4 IPS |
|
|
Machine Translation (F16)
|
100% |
5947
109.4 IPS |
|
|
Machine Translation (I8)
|
70% |
3893
71.6 IPS |
