ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403WW_GA403WW
Geekbench AI Score
23663
Single Precision Score
41427
Half Precision Score
18223
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 02:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403WW_GA403WW |
| Motherboard | ASUSTeK COMPUTER INC. GA403WW |
| 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% |
10441
1.94 KIPS |
|
|
Image Classification (HP)
|
100% |
14551
2.71 KIPS |
|
|
Image Classification (Q)
|
100% |
8554
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17089
277.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
25719
416.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15649
254.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
116488
135.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
358910
418.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
102825
120.4 IPS |
|
|
Object Detection (SP)
|
100% |
12151
963.8 IPS |
|
|
Object Detection (HP)
|
100% |
20368
1.62 KIPS |
|
|
Object Detection (Q)
|
86% |
10245
823.1 IPS |
|
|
Face Detection (SP)
|
100% |
32507
386.3 IPS |
|
|
Face Detection (HP)
|
100% |
48638
577.9 IPS |
|
|
Face Detection (Q)
|
97% |
27928
333.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
56013
431.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
109866
846.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
40402
322.7 IPS |
|
|
Style Transfer (SP)
|
100% |
202971
260.9 IPS |
|
|
Style Transfer (HP)
|
100% |
703981
905.0 IPS |
|
|
Style Transfer (Q)
|
98% |
174470
225.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32362
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61230
2.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27195
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3280
4.38 KIPS |
|
|
Text Classification (HP)
|
100% |
4143
5.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2065
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
5557
95.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5703
98.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2591
48.6 IPS |
