ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UI_GA403UI
Geekbench AI Score
4772
Single Precision Score
4489
Half Precision Score
13373
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Betancd |
| Upload Date | October 20 2024 09:10 AM |
| Views | 3 |
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% |
2694
501.0 IPS |
|
|
Image Classification (HP)
|
100% |
2923
543.5 IPS |
|
|
Image Classification (Q)
|
100% |
9375
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3115
50.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1860
30.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6963
112.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6500
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
6872
8.02 IPS |
|
|
Pose Estimation (Q)
|
98% |
27654
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
2659
210.9 IPS |
|
|
Object Detection (HP)
|
100% |
2629
208.6 IPS |
|
|
Object Detection (Q)
|
88% |
8640
692.6 IPS |
|
|
Face Detection (SP)
|
100% |
6008
71.4 IPS |
|
|
Face Detection (HP)
|
100% |
6069
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
20859
247.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7978
61.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
6937
53.4 IPS |
|
|
Depth Estimation (Q)
|
80% |
23629
187.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19479
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18547
23.8 IPS |
|
|
Style Transfer (Q)
|
98% |
72840
93.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3860
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3609
133.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12533
464.2 IPS |
|
|
Text Classification (SP)
|
100% |
3457
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (Q)
|
92% |
4818
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3391
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3755
64.7 IPS |
|
|
Machine Translation (Q)
|
85% |
5412
94.6 IPS |
