ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MV_GU605MV
Geekbench AI Score
3810
Single Precision Score
1566
Half Precision Score
7216
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Venturouster17 |
| Upload Date | September 03 2025 05:18 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MV_GU605MV |
| Motherboard | ASUSTeK COMPUTER INC. GU605MV |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2949
548.4 IPS |
|
|
Image Classification (HP)
|
100% |
558
103.7 IPS |
|
|
Image Classification (Q)
|
99% |
5768
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1662
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1118
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8885
144.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6338
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
4244
4.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
23699
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
2731
216.6 IPS |
|
|
Object Detection (HP)
|
100% |
791
62.7 IPS |
|
|
Object Detection (Q)
|
86% |
6262
503.2 IPS |
|
|
Face Detection (SP)
|
100% |
7978
94.8 IPS |
|
|
Face Detection (HP)
|
100% |
1578
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
8686
103.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7777
59.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2096
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
14336
114.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14508
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10301
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20068
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2665
98.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1946
71.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5045
186.8 IPS |
|
|
Text Classification (SP)
|
100% |
1594
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
733
978.3 IPS |
|
|
Text Classification (Q)
|
97% |
1368
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1991
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2921
58.7 IPS |
