ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CW_GU605CW
Geekbench AI Score
5181
Single Precision Score
9901
Half Precision Score
14968
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Betancd |
| Upload Date | May 09 2025 02:53 AM |
| Views | 5 |
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(R) Core(TM) 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% |
3124
581.0 IPS |
|
|
Image Classification (HP)
|
100% |
6909
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
9591
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4038
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2911
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3921
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7229
8.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
34537
40.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
74898
87.7 IPS |
|
|
Object Detection (SP)
|
100% |
2597
206.0 IPS |
|
|
Object Detection (HP)
|
100% |
6105
484.3 IPS |
|
|
Object Detection (Q)
|
87% |
9957
799.1 IPS |
|
|
Face Detection (SP)
|
100% |
8138
96.7 IPS |
|
|
Face Detection (HP)
|
100% |
16698
198.4 IPS |
|
|
Face Detection (Q)
|
100% |
28356
336.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7948
61.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19320
148.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
35459
275.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21286
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
54145
69.6 IPS |
|
|
Style Transfer (Q)
|
98% |
98156
126.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3756
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14261
526.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23672
876.7 IPS |
|
|
Text Classification (SP)
|
100% |
3303
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2040
2.72 KIPS |
|
|
Text Classification (Q)
|
92% |
2058
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3446
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4205
72.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4187
72.1 IPS |
