ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UV_GA403UV
Geekbench AI Score
16784
Single Precision Score
28868
Half Precision Score
12773
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | poyrazkilic |
| Upload Date | October 01 2024 03:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| 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 | Balanced |
| 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% |
6802
1.26 KIPS |
|
|
Image Classification (HP)
|
99% |
11781
2.20 KIPS |
|
|
Image Classification (Q)
|
100% |
6041
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11791
191.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15800
256.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10916
177.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
83147
97.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
240951
281.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
73927
86.6 IPS |
|
|
Object Detection (SP)
|
100% |
8071
640.2 IPS |
|
|
Object Detection (HP)
|
100% |
15091
1.20 KIPS |
|
|
Object Detection (Q)
|
89% |
6791
543.6 IPS |
|
|
Face Detection (SP)
|
100% |
17838
211.9 IPS |
|
|
Face Detection (HP)
|
100% |
28503
338.7 IPS |
|
|
Face Detection (Q)
|
97% |
14274
170.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
37551
289.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
77503
597.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
31336
251.7 IPS |
|
|
Style Transfer (SP)
|
100% |
141860
182.4 IPS |
|
|
Style Transfer (HP)
|
100% |
366565
471.2 IPS |
|
|
Style Transfer (Q)
|
98% |
125732
162.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28266
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47363
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20992
777.3 IPS |
|
|
Text Classification (SP)
|
100% |
3156
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
3657
4.88 KIPS |
|
|
Text Classification (Q)
|
97% |
2009
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3890
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4235
72.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1473
32.8 IPS |
