ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UV_GA403UV
Geekbench AI Score
17818
Single Precision Score
30728
Half Precision Score
14193
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | andreicr1 |
| Upload Date | May 02 2025 04:45 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UV_GA403UV |
| Motherboard | ASUSTeK COMPUTER INC. GA403UV |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7341
1.37 KIPS |
|
|
Image Classification (HP)
|
99% |
12671
2.36 KIPS |
|
|
Image Classification (Q)
|
99% |
6704
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12879
208.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18774
304.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11880
193.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
81496
95.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
236743
276.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
71472
83.7 IPS |
|
|
Object Detection (SP)
|
100% |
8264
655.5 IPS |
|
|
Object Detection (HP)
|
100% |
16572
1.31 KIPS |
|
|
Object Detection (Q)
|
84% |
7855
633.6 IPS |
|
|
Face Detection (SP)
|
100% |
21637
257.1 IPS |
|
|
Face Detection (HP)
|
100% |
34669
411.9 IPS |
|
|
Face Detection (Q)
|
97% |
19348
230.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
41250
317.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
79997
616.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
34045
272.4 IPS |
|
|
Style Transfer (SP)
|
100% |
142908
183.7 IPS |
|
|
Style Transfer (HP)
|
100% |
357686
459.8 IPS |
|
|
Style Transfer (Q)
|
98% |
130230
167.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29345
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47700
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22169
820.9 IPS |
|
|
Text Classification (SP)
|
100% |
3120
4.17 KIPS |
|
|
Text Classification (HP)
|
99% |
3609
4.82 KIPS |
|
|
Text Classification (Q)
|
97% |
1952
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4338
74.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4709
81.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1999
37.5 IPS |
