ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CW_GU605CW
Geekbench AI Score
4522
Single Precision Score
1819
Half Precision Score
8006
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Betancd |
| Upload Date | April 28 2025 09:11 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CW_GU605CW |
| Motherboard | ASUSTeK COMPUTER INC. GU605CW |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2916
542.3 IPS |
|
|
Image Classification (HP)
|
100% |
678
126.1 IPS |
|
|
Image Classification (Q)
|
99% |
8428
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3869
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7903
9.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
5387
6.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
26050
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3070
243.5 IPS |
|
|
Object Detection (HP)
|
100% |
844
67.0 IPS |
|
|
Object Detection (Q)
|
86% |
8332
669.6 IPS |
|
|
Face Detection (SP)
|
100% |
8694
103.3 IPS |
|
|
Face Detection (HP)
|
100% |
1780
21.1 IPS |
|
|
Face Detection (Q)
|
97% |
11098
132.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10271
79.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2681
20.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
17425
139.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17812
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12661
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22356
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3213
118.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2201
81.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5063
187.5 IPS |
|
|
Text Classification (SP)
|
100% |
1848
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
812
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1798
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2540
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3887
78.1 IPS |
