ASUS System Product Name
Geekbench ML Score
27357
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 13 2026 09:12 AM |
| Views | 12 |
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% |
14646
2.74 KIPS |
|
|
Image Classification (F16)
|
100% |
14769
2.76 KIPS |
|
|
Image Classification (I8)
|
100% |
13898
2.60 KIPS |
|
|
Image Segmentation (F32)
|
100% |
20399
340.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
19871
331.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
18835
314.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
190838
231.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
206914
250.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
193607
234.5 IPS |
|
|
Object Detection (F32)
|
100% |
7556
564.1 IPS |
|
|
Object Detection (F16)
|
100% |
7323
546.7 IPS |
|
|
Object Detection (I8)
|
56% |
6216
464.0 IPS |
|
|
Face Detection (F32)
|
100% |
43850
521.4 IPS |
|
|
Face Detection (F16)
|
100% |
42965
510.9 IPS |
|
|
Face Detection (I8)
|
89% |
36424
433.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
74603
578.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
74383
576.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
61891
480.0 IPS |
|
|
Style Transfer (F32)
|
100% |
332694
437.6 IPS |
|
|
Style Transfer (F16)
|
100% |
340152
447.4 IPS |
|
|
Style Transfer (I8)
|
98% |
306119
402.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
41579
1.48 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
24891
889.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
37836
1.35 KIPS |
|
|
Text Classification (F32)
|
100% |
4206
6.05 KIPS |
|
|
Text Classification (F16)
|
100% |
4081
5.86 KIPS |
|
|
Text Classification (I8)
|
98% |
2800
4.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
5985
110.1 IPS |
|
|
Machine Translation (F16)
|
100% |
6018
110.7 IPS |
|
|
Machine Translation (I8)
|
70% |
3877
71.4 IPS |
