ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MY_GU605MY
Geekbench AI Score
2897
Single Precision Score
1299
Half Precision Score
3597
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | October 25 2024 10:25 AM |
| Views | 15 |
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 GU605MY_GU605MY |
| Motherboard | ASUSTeK COMPUTER INC. GU605MY |
| Power Plan | Balanced |
| 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% |
1795
333.9 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (Q)
|
99% |
3062
571.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
709
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2186
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5830
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
4050
4.73 IPS |
|
|
Pose Estimation (Q)
|
95% |
21657
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
2070
164.2 IPS |
|
|
Object Detection (HP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (Q)
|
88% |
1718
137.7 IPS |
|
|
Face Detection (SP)
|
100% |
3417
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
1409
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
3845
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6537
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1997
15.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
7622
61.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13975
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10078
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19232
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2181
80.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1652
61.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3328
123.2 IPS |
|
|
Text Classification (SP)
|
100% |
1282
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
613
818.8 IPS |
|
|
Text Classification (Q)
|
97% |
447
598.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1779
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1737
38.7 IPS |
