ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403WW_GA403WW
Geekbench AI Score
8883
Single Precision Score
14665
Half Precision Score
6685
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | December 20 2025 12:14 PM |
| Views | 3 |
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% |
2949
548.3 IPS |
|
|
Image Classification (HP)
|
100% |
5773
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
2894
538.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4044
65.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6150
99.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4273
69.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
50305
58.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
104099
121.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
36773
43.1 IPS |
|
|
Object Detection (SP)
|
100% |
2543
201.7 IPS |
|
|
Object Detection (HP)
|
100% |
4118
326.6 IPS |
|
|
Object Detection (Q)
|
87% |
2209
177.4 IPS |
|
|
Face Detection (SP)
|
100% |
7184
85.4 IPS |
|
|
Face Detection (HP)
|
100% |
12521
148.8 IPS |
|
|
Face Detection (Q)
|
97% |
5969
71.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20077
154.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
30278
233.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
15519
124.5 IPS |
|
|
Style Transfer (SP)
|
100% |
82901
106.6 IPS |
|
|
Style Transfer (HP)
|
100% |
159749
205.4 IPS |
|
|
Style Transfer (Q)
|
98% |
58718
75.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14237
525.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30186
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
8990
332.9 IPS |
|
|
Text Classification (SP)
|
100% |
2866
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3458
4.62 KIPS |
|
|
Text Classification (Q)
|
97% |
2115
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4112
70.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4783
82.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1717
32.2 IPS |
