ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UH_GA403UH
Geekbench ML Score
5447
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 16 2025 03:49 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UH_GA403UH |
| Motherboard | ASUSTeK COMPUTER INC. GA403UH |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 270 w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2930
548.4 IPS |
|
|
Image Classification (F16)
|
100% |
2917
545.9 IPS |
|
|
Image Classification (I8)
|
100% |
2561
479.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2843
47.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2866
47.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2483
41.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
37938
45.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
39210
47.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
29598
35.8 IPS |
|
|
Object Detection (F32)
|
100% |
1965
146.7 IPS |
|
|
Object Detection (F16)
|
100% |
2047
152.8 IPS |
|
|
Object Detection (I8)
|
62% |
1902
142.0 IPS |
|
|
Face Detection (F32)
|
100% |
5902
70.2 IPS |
|
|
Face Detection (F16)
|
100% |
5983
71.1 IPS |
|
|
Face Detection (I8)
|
89% |
4642
55.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
17357
134.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
16704
129.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
13200
102.4 IPS |
|
|
Style Transfer (F32)
|
100% |
29859
39.3 IPS |
|
|
Style Transfer (F16)
|
100% |
30519
40.1 IPS |
|
|
Style Transfer (I8)
|
98% |
26974
35.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6124
218.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6160
220.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4669
166.8 IPS |
|
|
Text Classification (F32)
|
100% |
1518
2.18 KIPS |
|
|
Text Classification (F16)
|
100% |
1514
2.18 KIPS |
|
|
Text Classification (I8)
|
98% |
1220
1.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
2474
45.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2496
45.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1741
32.0 IPS |
