ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MI_GU605MI
Geekbench AI Score
6950
Single Precision Score
10180
Half Precision Score
14856
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 03:15 AM |
| Views | 2 |
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% |
4458
829.1 IPS |
|
|
Image Classification (HP)
|
100% |
5699
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
6706
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4538
73.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9933
161.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13607
220.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18185
21.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
16923
19.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
55255
64.7 IPS |
|
|
Object Detection (SP)
|
100% |
4017
318.6 IPS |
|
|
Object Detection (HP)
|
100% |
6309
500.4 IPS |
|
|
Object Detection (Q)
|
88% |
9081
727.8 IPS |
|
|
Face Detection (SP)
|
100% |
9713
115.4 IPS |
|
|
Face Detection (HP)
|
100% |
18622
221.3 IPS |
|
|
Face Detection (Q)
|
100% |
26866
319.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15682
120.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
26600
205.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
28016
217.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44801
57.6 IPS |
|
|
Style Transfer (HP)
|
100% |
55275
71.1 IPS |
|
|
Style Transfer (Q)
|
98% |
130826
168.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6846
252.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11353
419.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17804
659.4 IPS |
|
|
Text Classification (SP)
|
71% |
1633
2.36 KIPS |
|
|
Text Classification (HP)
|
71% |
2213
3.20 KIPS |
|
|
Text Classification (Q)
|
92% |
2190
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2335
40.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2876
49.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2980
51.3 IPS |
