ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MI_GU605MI
Geekbench AI Score
3543
Single Precision Score
7999
Half Precision Score
11889
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | AndrewReynosa |
| Upload Date | January 06 2025 11:11 PM |
| Views | 16 |
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 GU605MI_GU605MI |
| Motherboard | ASUSTeK COMPUTER INC. GU605MI |
| Power Plan | Turbo |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1830
340.3 IPS |
|
|
Image Classification (HP)
|
100% |
5385
1.00 KIPS |
|
|
Image Classification (Q)
|
100% |
7223
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2818
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3121
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5111
5.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
29365
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
62547
73.3 IPS |
|
|
Object Detection (SP)
|
100% |
1868
148.2 IPS |
|
|
Object Detection (HP)
|
100% |
4856
385.2 IPS |
|
|
Object Detection (Q)
|
87% |
7465
599.1 IPS |
|
|
Face Detection (SP)
|
100% |
5659
67.2 IPS |
|
|
Face Detection (HP)
|
100% |
13051
155.1 IPS |
|
|
Face Detection (Q)
|
100% |
20820
247.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5926
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16417
126.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
30835
239.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15366
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
45178
58.1 IPS |
|
|
Style Transfer (Q)
|
98% |
79990
103.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2621
96.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12029
444.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20566
761.6 IPS |
|
|
Text Classification (SP)
|
100% |
1945
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1850
2.47 KIPS |
|
|
Text Classification (Q)
|
92% |
1836
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2416
41.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2747
47.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2766
47.6 IPS |
