ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403WW_GA403WW
Geekbench AI Score
8867
Single Precision Score
14327
Half Precision Score
6662
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 28 2025 12:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403WW_GA403WW |
| Motherboard | ASUSTeK COMPUTER INC. GA403WW |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3707
689.4 IPS |
|
|
Image Classification (HP)
|
100% |
5799
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
3209
596.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3996
64.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6064
98.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4133
67.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
50072
58.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
104461
121.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
36533
42.8 IPS |
|
|
Object Detection (SP)
|
100% |
2533
200.9 IPS |
|
|
Object Detection (HP)
|
100% |
4045
320.9 IPS |
|
|
Object Detection (Q)
|
87% |
2289
183.8 IPS |
|
|
Face Detection (SP)
|
100% |
7410
88.1 IPS |
|
|
Face Detection (HP)
|
100% |
11902
141.4 IPS |
|
|
Face Detection (Q)
|
97% |
5853
69.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19553
150.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
32237
248.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
15029
120.5 IPS |
|
|
Style Transfer (SP)
|
100% |
82691
106.3 IPS |
|
|
Style Transfer (HP)
|
100% |
143668
184.7 IPS |
|
|
Style Transfer (Q)
|
98% |
57394
74.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15351
566.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29489
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
8372
310.0 IPS |
|
|
Text Classification (SP)
|
100% |
2890
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3505
4.68 KIPS |
|
|
Text Classification (Q)
|
97% |
2136
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3010
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4305
74.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1720
32.3 IPS |
