ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UV_GA403UV
Geekbench AI Score
3184
Single Precision Score
1549
Half Precision Score
6530
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | poyrazkilic |
| Upload Date | March 20 2025 04:37 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
2559
476.0 IPS |
|
|
Image Classification (HP)
|
100% |
609
113.3 IPS |
|
|
Image Classification (Q)
|
99% |
7164
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
977
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
736
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3401
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5938
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
4775
5.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
20632
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
2091
165.9 IPS |
|
|
Object Detection (HP)
|
100% |
663
52.6 IPS |
|
|
Object Detection (Q)
|
86% |
6898
554.4 IPS |
|
|
Face Detection (SP)
|
100% |
4895
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
1649
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
10843
129.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8193
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2506
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6984
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10898
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9984
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24682
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2199
81.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2163
79.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3494
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
1811
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1826
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1988
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3414
68.6 IPS |
