ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CW_GU605CW
Geekbench AI Score
5423
Single Precision Score
9697
Half Precision Score
14536
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Betancd |
| Upload Date | April 28 2025 09:09 PM |
| Views | 4 |
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% |
3591
667.7 IPS |
|
|
Image Classification (HP)
|
100% |
6820
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
9360
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4369
70.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2891
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3667
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7519
8.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
34216
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
72824
85.3 IPS |
|
|
Object Detection (SP)
|
100% |
2769
219.7 IPS |
|
|
Object Detection (HP)
|
100% |
6083
482.5 IPS |
|
|
Object Detection (Q)
|
87% |
9827
788.6 IPS |
|
|
Face Detection (SP)
|
100% |
8203
97.5 IPS |
|
|
Face Detection (HP)
|
100% |
15612
185.5 IPS |
|
|
Face Detection (Q)
|
100% |
26842
318.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8157
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18944
145.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
35147
273.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21981
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
52810
67.9 IPS |
|
|
Style Transfer (Q)
|
98% |
95230
122.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3957
146.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14147
522.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23510
870.7 IPS |
|
|
Text Classification (SP)
|
100% |
3491
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1995
2.66 KIPS |
|
|
Text Classification (Q)
|
92% |
1983
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3319
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4064
70.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4094
70.5 IPS |
