ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MY_GU605MY
Geekbench AI Score
3076
Single Precision Score
1342
Half Precision Score
3875
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | October 30 2024 10:40 AM |
| Views | 5 |
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 | Performance |
| 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% |
1871
348.0 IPS |
|
|
Image Classification (HP)
|
100% |
445
82.7 IPS |
|
|
Image Classification (Q)
|
99% |
3375
629.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
907
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2681
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6248
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
4135
4.82 IPS |
|
|
Pose Estimation (Q)
|
95% |
22916
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
2007
159.2 IPS |
|
|
Object Detection (HP)
|
100% |
556
44.1 IPS |
|
|
Object Detection (Q)
|
88% |
1731
138.8 IPS |
|
|
Face Detection (SP)
|
100% |
3679
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
1451
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
3774
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6919
53.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1907
14.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
7513
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14709
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10320
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
19706
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2621
96.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1910
70.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3618
134.0 IPS |
|
|
Text Classification (SP)
|
100% |
1428
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
601
801.6 IPS |
|
|
Text Classification (Q)
|
97% |
524
702.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1708
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
624
10.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2009
44.8 IPS |
