ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UV_GA403UV
Geekbench AI Score
5889
Single Precision Score
5970
Half Precision Score
16923
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | poyrazkilic |
| Upload Date | March 20 2025 04:43 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS w/ Radeon 780M Graphics |
| 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% |
3928
730.4 IPS |
|
|
Image Classification (HP)
|
100% |
3993
742.6 IPS |
|
|
Image Classification (Q)
|
100% |
11524
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4462
72.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4469
72.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11515
186.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7693
8.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
7653
8.93 IPS |
|
|
Pose Estimation (Q)
|
98% |
30502
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
3344
265.2 IPS |
|
|
Object Detection (HP)
|
100% |
3409
270.4 IPS |
|
|
Object Detection (Q)
|
88% |
11355
910.3 IPS |
|
|
Face Detection (SP)
|
100% |
6690
79.5 IPS |
|
|
Face Detection (HP)
|
100% |
6652
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
26407
313.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8713
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9366
72.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
27942
217.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20373
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20423
26.3 IPS |
|
|
Style Transfer (Q)
|
98% |
81502
105.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4522
167.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4548
168.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16053
594.5 IPS |
|
|
Text Classification (SP)
|
100% |
4052
5.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4043
5.40 KIPS |
|
|
Text Classification (Q)
|
92% |
5916
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5118
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5287
91.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7342
126.5 IPS |
