ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MI_GU605MI
Geekbench AI Score
2006
Single Precision Score
783
Half Precision Score
3449
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | AREPO |
| Upload Date | March 08 2025 05:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MI_GU605MI |
| Motherboard | ASUSTeK COMPUTER INC. GU605MI |
| Power Plan | High 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1544
287.1 IPS |
|
|
Image Classification (HP)
|
100% |
279
51.9 IPS |
|
|
Image Classification (Q)
|
99% |
2999
559.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
1695
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3356
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2312
2.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
11862
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1481
117.5 IPS |
|
|
Object Detection (HP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (Q)
|
86% |
3017
242.5 IPS |
|
|
Face Detection (SP)
|
100% |
4197
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
839
9.97 IPS |
|
|
Face Detection (Q)
|
97% |
4336
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4355
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1134
8.73 IPS |
|
|
Depth Estimation (Q)
|
78% |
7813
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8206
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
5743
7.38 IPS |
|
|
Style Transfer (Q)
|
98% |
13607
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1402
51.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1041
38.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2194
81.3 IPS |
|
|
Text Classification (SP)
|
100% |
706
942.5 IPS |
|
|
Text Classification (HP)
|
100% |
354
473.1 IPS |
|
|
Text Classification (Q)
|
97% |
788
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
408
7.02 IPS |
|
|
Machine Translation (Q)
|
65% |
1644
33.0 IPS |
