ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UI_GA403UI
Geekbench AI Score
5847
Single Precision Score
5854
Half Precision Score
16367
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Betancd |
| Upload Date | May 10 2025 03:31 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS w/ Radeon 780M Graphics |
| 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% |
3742
695.8 IPS |
|
|
Image Classification (HP)
|
100% |
3669
682.4 IPS |
|
|
Image Classification (Q)
|
100% |
10903
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4408
71.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4395
71.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11418
185.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7579
8.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
7531
8.79 IPS |
|
|
Pose Estimation (Q)
|
98% |
30313
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
3299
261.7 IPS |
|
|
Object Detection (HP)
|
100% |
3256
258.3 IPS |
|
|
Object Detection (Q)
|
88% |
10796
865.4 IPS |
|
|
Face Detection (SP)
|
100% |
7139
84.8 IPS |
|
|
Face Detection (HP)
|
100% |
7136
84.8 IPS |
|
|
Face Detection (Q)
|
100% |
25550
303.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9484
73.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9219
71.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
27221
211.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19734
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20799
26.7 IPS |
|
|
Style Transfer (Q)
|
98% |
79807
102.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4325
159.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4494
165.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15781
584.4 IPS |
|
|
Text Classification (SP)
|
100% |
3870
5.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3896
5.20 KIPS |
|
|
Text Classification (Q)
|
92% |
5608
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5070
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4990
85.9 IPS |
|
|
Machine Translation (Q)
|
100% |
6894
118.8 IPS |
