ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MV_GU605MV
Geekbench AI Score
6881
Single Precision Score
9721
Half Precision Score
15205
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 10 2025 07:25 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MV_GU605MV |
| Motherboard | ASUSTeK COMPUTER INC. GU605MV |
| Power Plan | Balanced |
| 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% |
4497
836.4 IPS |
|
|
Image Classification (HP)
|
100% |
6416
1.19 KIPS |
|
|
Image Classification (Q)
|
100% |
8514
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4977
80.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
11561
187.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15852
257.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18756
21.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
17329
20.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
57108
66.9 IPS |
|
|
Object Detection (SP)
|
100% |
4441
352.3 IPS |
|
|
Object Detection (HP)
|
100% |
7136
566.0 IPS |
|
|
Object Detection (Q)
|
88% |
10598
849.3 IPS |
|
|
Face Detection (SP)
|
100% |
10185
121.0 IPS |
|
|
Face Detection (HP)
|
100% |
20368
242.0 IPS |
|
|
Face Detection (Q)
|
100% |
31141
370.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16848
129.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
26696
206.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
30901
240.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42533
54.7 IPS |
|
|
Style Transfer (HP)
|
100% |
56875
73.1 IPS |
|
|
Style Transfer (Q)
|
98% |
134616
173.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7534
278.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11811
436.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18278
676.9 IPS |
|
|
Text Classification (SP)
|
71% |
1378
1.99 KIPS |
|
|
Text Classification (HP)
|
71% |
1233
1.78 KIPS |
|
|
Text Classification (Q)
|
92% |
1820
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1686
29.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1825
31.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1877
32.4 IPS |
