ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MY_GU605MY
Geekbench AI Score
1898
Single Precision Score
7955
Half Precision Score
12354
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | ZGH016 |
| Upload Date | August 02 2025 09:27 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 GU605MY_GU605MY |
| Motherboard | ASUSTeK COMPUTER INC. GU605MY |
| Power Plan | 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% |
1003
186.5 IPS |
|
|
Image Classification (HP)
|
100% |
5261
978.4 IPS |
|
|
Image Classification (Q)
|
100% |
7236
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1721
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2424
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3073
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3737
4.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
30241
35.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
64566
75.6 IPS |
|
|
Object Detection (SP)
|
100% |
946
75.0 IPS |
|
|
Object Detection (HP)
|
100% |
4979
394.9 IPS |
|
|
Object Detection (Q)
|
88% |
8096
649.0 IPS |
|
|
Face Detection (SP)
|
100% |
2881
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
13689
162.7 IPS |
|
|
Face Detection (Q)
|
100% |
23852
283.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3042
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
16769
129.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
30885
240.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10684
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
46492
59.8 IPS |
|
|
Style Transfer (Q)
|
98% |
81455
105.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1515
56.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12973
479.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24289
899.5 IPS |
|
|
Text Classification (SP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1225
1.64 KIPS |
|
|
Text Classification (Q)
|
92% |
1534
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3118
53.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3187
54.9 IPS |
