ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MI_GU605MI
Geekbench AI Score
3488
Single Precision Score
1396
Half Precision Score
5203
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | AndrewReynosa |
| Upload Date | January 06 2025 11:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| 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% |
2714
504.7 IPS |
|
|
Image Classification (HP)
|
100% |
492
91.6 IPS |
|
|
Image Classification (Q)
|
99% |
5366
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
858
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2688
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6142
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
4128
4.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
22145
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
2514
199.4 IPS |
|
|
Object Detection (HP)
|
100% |
619
49.1 IPS |
|
|
Object Detection (Q)
|
86% |
5138
413.0 IPS |
|
|
Face Detection (SP)
|
100% |
6744
80.1 IPS |
|
|
Face Detection (HP)
|
100% |
1463
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
7858
93.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7687
59.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2025
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
13124
104.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14542
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10205
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19488
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2539
93.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1884
69.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3715
137.6 IPS |
|
|
Text Classification (SP)
|
100% |
1316
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
653
871.1 IPS |
|
|
Text Classification (Q)
|
97% |
496
664.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1729
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2394
48.1 IPS |
