ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UI_GA403UI
Geekbench AI Score
2720
Single Precision Score
785
Half Precision Score
4022
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Betancd |
| Upload Date | August 15 2024 06:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UI_GA403UI |
| Motherboard | ASUSTeK COMPUTER INC. GA403UI |
| Power Plan | Performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1447
269.1 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.7 IPS |
|
|
Image Classification (Q)
|
99% |
4313
804.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1087
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
235
3.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
2433
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5055
5.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
4221
4.93 IPS |
|
|
Pose Estimation (Q)
|
95% |
23382
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
1911
151.6 IPS |
|
|
Object Detection (HP)
|
100% |
215
17.0 IPS |
|
|
Object Detection (Q)
|
88% |
1878
150.6 IPS |
|
|
Face Detection (SP)
|
100% |
2822
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
320
3.80 IPS |
|
|
Face Detection (Q)
|
97% |
4711
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5927
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
975
7.51 IPS |
|
|
Depth Estimation (Q)
|
76% |
8830
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11807
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10523
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
24066
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2095
77.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1856
68.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3149
116.6 IPS |
|
|
Text Classification (SP)
|
100% |
1866
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
735
980.9 IPS |
|
|
Text Classification (Q)
|
97% |
414
554.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1893
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
607
10.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1842
41.1 IPS |
