ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MI_GU605MI
Geekbench AI Score
6913
Single Precision Score
10046
Half Precision Score
15005
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 09:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MI_GU605MI |
| Motherboard | ASUSTeK COMPUTER INC. GU605MI |
| Power Plan | Silent |
| 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% |
4067
756.4 IPS |
|
|
Image Classification (HP)
|
100% |
5763
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
7294
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4602
74.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8587
139.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13457
218.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17265
20.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
17013
19.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
55105
64.5 IPS |
|
|
Object Detection (SP)
|
100% |
4047
321.0 IPS |
|
|
Object Detection (HP)
|
100% |
6367
505.0 IPS |
|
|
Object Detection (Q)
|
88% |
8897
713.0 IPS |
|
|
Face Detection (SP)
|
100% |
10004
118.9 IPS |
|
|
Face Detection (HP)
|
100% |
18717
222.4 IPS |
|
|
Face Detection (Q)
|
100% |
27837
330.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15258
117.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
27624
213.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
29264
227.5 IPS |
|
|
Style Transfer (SP)
|
100% |
45540
58.5 IPS |
|
|
Style Transfer (HP)
|
100% |
56019
72.0 IPS |
|
|
Style Transfer (Q)
|
98% |
129104
166.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7583
280.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11609
428.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18215
674.6 IPS |
|
|
Text Classification (SP)
|
71% |
1588
2.30 KIPS |
|
|
Text Classification (HP)
|
71% |
2041
2.95 KIPS |
|
|
Text Classification (Q)
|
92% |
2142
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2279
39.3 IPS |
|
|
Machine Translation (HP)
|
96% |
2847
49.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2930
50.5 IPS |
