ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA402RK_GA402RK
Geekbench AI Score
2286
Single Precision Score
1102
Half Precision Score
3800
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tamyururu |
| Upload Date | March 16 2025 07:40 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 6900HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA402RK_GA402RK |
| Motherboard | ASUSTeK COMPUTER INC. GA402RK |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 6900HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1835
341.2 IPS |
|
|
Image Classification (HP)
|
100% |
439
81.6 IPS |
|
|
Image Classification (Q)
|
96% |
3734
697.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
555
8.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
460
7.46 IPS |
|
|
Image Segmentation (Q)
|
97% |
2100
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3798
4.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
3095
3.61 IPS |
|
|
Pose Estimation (Q)
|
86% |
8614
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1858
147.4 IPS |
|
|
Object Detection (HP)
|
100% |
525
41.6 IPS |
|
|
Object Detection (Q)
|
58% |
2442
266.8 IPS |
|
|
Face Detection (SP)
|
100% |
3948
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
1196
14.2 IPS |
|
|
Face Detection (Q)
|
96% |
6374
76.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4868
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1730
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
8254
65.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9298
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7257
9.33 IPS |
|
|
Style Transfer (Q)
|
87% |
14012
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1583
58.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2168
80.3 IPS |
|
|
Text Classification (SP)
|
100% |
1269
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
673
898.2 IPS |
|
|
Text Classification (Q)
|
97% |
1321
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1515
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
567
9.77 IPS |
|
|
Machine Translation (Q)
|
68% |
1803
34.8 IPS |
