ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MY
Geekbench AI Score
2856
Single Precision Score
1166
Half Precision Score
5415
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 05:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MY |
| Motherboard | ASUSTeK COMPUTER INC. GU605MY |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2527
470.0 IPS |
|
|
Image Classification (HP)
|
100% |
446
83.0 IPS |
|
|
Image Classification (Q)
|
99% |
5104
952.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1409
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
954
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7420
120.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5666
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3588
4.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
17679
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
2117
167.9 IPS |
|
|
Object Detection (HP)
|
100% |
470
37.3 IPS |
|
|
Object Detection (Q)
|
86% |
3831
307.9 IPS |
|
|
Face Detection (SP)
|
100% |
6127
72.8 IPS |
|
|
Face Detection (HP)
|
100% |
1078
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
7050
84.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6146
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1704
13.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
11824
94.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11977
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8255
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15184
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1960
72.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1586
58.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3979
147.4 IPS |
|
|
Text Classification (SP)
|
100% |
880
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
462
617.1 IPS |
|
|
Text Classification (Q)
|
97% |
996
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1087
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (Q)
|
65% |
1687
33.9 IPS |
