ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CW_GU605CW
Geekbench AI Score
4199
Single Precision Score
9809
Half Precision Score
14837
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Betancd |
| Upload Date | March 17 2026 03:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CW_GU605CW |
| Motherboard | ASUSTeK COMPUTER INC. GU605CW |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2304
428.5 IPS |
|
|
Image Classification (HP)
|
100% |
6877
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
9333
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3277
53.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2872
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3923
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5722
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
34434
40.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
74684
87.5 IPS |
|
|
Object Detection (SP)
|
100% |
2225
176.5 IPS |
|
|
Object Detection (HP)
|
100% |
6084
482.6 IPS |
|
|
Object Detection (Q)
|
87% |
9962
799.5 IPS |
|
|
Face Detection (SP)
|
100% |
6881
81.8 IPS |
|
|
Face Detection (HP)
|
100% |
16134
191.7 IPS |
|
|
Face Detection (Q)
|
100% |
27801
330.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6545
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19123
147.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
35456
275.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17451
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
53938
69.3 IPS |
|
|
Style Transfer (Q)
|
98% |
97176
125.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2918
107.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14226
525.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23579
873.2 IPS |
|
|
Text Classification (SP)
|
100% |
2558
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2023
2.70 KIPS |
|
|
Text Classification (Q)
|
92% |
1999
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3026
52.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4163
71.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4206
72.5 IPS |
