ASUS System Product Name
Geekbench ML Score
26515
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2025 11:13 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 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% |
14426
2.70 KIPS |
|
|
Image Classification (F16)
|
100% |
14669
2.74 KIPS |
|
|
Image Classification (I8)
|
100% |
13904
2.60 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12719
212.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
20386
340.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
18745
313.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
194845
235.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
209587
253.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
193276
234.0 IPS |
|
|
Object Detection (F32)
|
100% |
6958
519.4 IPS |
|
|
Object Detection (F16)
|
100% |
7400
552.4 IPS |
|
|
Object Detection (I8)
|
56% |
6960
519.6 IPS |
|
|
Face Detection (F32)
|
100% |
40615
482.9 IPS |
|
|
Face Detection (F16)
|
100% |
43514
517.4 IPS |
|
|
Face Detection (I8)
|
89% |
37055
440.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
72657
563.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
75953
589.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
62005
480.8 IPS |
|
|
Style Transfer (F32)
|
100% |
330232
434.4 IPS |
|
|
Style Transfer (F16)
|
100% |
345422
454.4 IPS |
|
|
Style Transfer (I8)
|
98% |
311267
409.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
34681
1.24 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
23149
826.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
35627
1.27 KIPS |
|
|
Text Classification (F32)
|
100% |
3700
5.32 KIPS |
|
|
Text Classification (F16)
|
100% |
3917
5.63 KIPS |
|
|
Text Classification (I8)
|
98% |
3022
4.34 KIPS |
|
|
Machine Translation (F32)
|
100% |
5687
104.6 IPS |
|
|
Machine Translation (F16)
|
100% |
5993
110.3 IPS |
|
|
Machine Translation (I8)
|
70% |
3688
67.9 IPS |
