ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403WW_GA403WW
Geekbench AI Score
23634
Single Precision Score
40163
Half Precision Score
17801
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | topgun966 |
| Upload Date | November 18 2025 02:26 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403WW_GA403WW |
| Motherboard | ASUSTeK COMPUTER INC. GA403WW |
| Power Plan | Turbo |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10729
2.00 KIPS |
|
|
Image Classification (HP)
|
100% |
15811
2.94 KIPS |
|
|
Image Classification (Q)
|
100% |
9045
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16387
265.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23050
373.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14585
237.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
121182
141.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
367120
428.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
109172
127.9 IPS |
|
|
Object Detection (SP)
|
100% |
12453
987.7 IPS |
|
|
Object Detection (HP)
|
100% |
20177
1.60 KIPS |
|
|
Object Detection (Q)
|
86% |
10840
871.0 IPS |
|
|
Face Detection (SP)
|
100% |
34906
414.8 IPS |
|
|
Face Detection (HP)
|
100% |
49518
588.4 IPS |
|
|
Face Detection (Q)
|
97% |
25586
305.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
56990
439.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
116980
901.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
45018
359.6 IPS |
|
|
Style Transfer (SP)
|
100% |
199852
256.9 IPS |
|
|
Style Transfer (HP)
|
100% |
691668
889.1 IPS |
|
|
Style Transfer (Q)
|
98% |
176161
227.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33284
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58683
2.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23613
874.4 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3359
4.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1819
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5225
90.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5123
88.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2349
44.1 IPS |
