ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MI_GU605MI
Geekbench AI Score
3507
Single Precision Score
8015
Half Precision Score
11927
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | AndrewReynosa |
| Upload Date | January 06 2025 11:21 PM |
| 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 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% |
1810
336.5 IPS |
|
|
Image Classification (HP)
|
100% |
5452
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
7262
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2774
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3149
51.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5153
6.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
29379
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
62780
73.5 IPS |
|
|
Object Detection (SP)
|
100% |
1847
146.5 IPS |
|
|
Object Detection (HP)
|
100% |
4872
386.4 IPS |
|
|
Object Detection (Q)
|
87% |
7465
599.2 IPS |
|
|
Face Detection (SP)
|
100% |
5650
67.1 IPS |
|
|
Face Detection (HP)
|
100% |
13074
155.3 IPS |
|
|
Face Detection (Q)
|
100% |
20943
248.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5900
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16498
127.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
30886
240.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15605
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
45084
58.0 IPS |
|
|
Style Transfer (Q)
|
98% |
79960
103.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2472
91.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11953
441.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20463
757.8 IPS |
|
|
Text Classification (SP)
|
100% |
1909
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1857
2.48 KIPS |
|
|
Text Classification (Q)
|
92% |
1857
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2403
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2745
47.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2767
47.7 IPS |
