ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CX_GU605CX_000826048
Geekbench AI Score
5400
Single Precision Score
5621
Half Precision Score
13072
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 05:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CX_GU605CX_000826048 |
| Motherboard | ASUSTeK COMPUTER INC. GU605CX |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3747
696.7 IPS |
|
|
Image Classification (HP)
|
100% |
4045
752.2 IPS |
|
|
Image Classification (Q)
|
100% |
9384
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4142
67.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2566
41.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9173
148.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7668
8.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
7110
8.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
26322
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
2850
226.1 IPS |
|
|
Object Detection (HP)
|
100% |
3749
297.4 IPS |
|
|
Object Detection (Q)
|
88% |
9705
778.0 IPS |
|
|
Face Detection (SP)
|
100% |
8547
101.6 IPS |
|
|
Face Detection (HP)
|
100% |
9593
114.0 IPS |
|
|
Face Detection (Q)
|
100% |
17821
211.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8098
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8294
63.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
21977
170.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20993
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19750
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
70180
90.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3964
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4641
171.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13683
506.7 IPS |
|
|
Text Classification (SP)
|
100% |
3402
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
2913
3.89 KIPS |
|
|
Text Classification (Q)
|
92% |
5515
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3177
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5364
92.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3196
55.1 IPS |
