ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CX_GU605CX_000826048
Geekbench AI Score
3586
Single Precision Score
1573
Half Precision Score
6774
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 04:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
2058
382.8 IPS |
|
|
Image Classification (HP)
|
100% |
592
110.1 IPS |
|
|
Image Classification (Q)
|
99% |
7598
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
892
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6656
108.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7453
8.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
5187
6.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
24661
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2945
233.6 IPS |
|
|
Object Detection (HP)
|
100% |
708
56.1 IPS |
|
|
Object Detection (Q)
|
86% |
6854
550.9 IPS |
|
|
Face Detection (SP)
|
100% |
5038
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
1799
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
9174
109.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9039
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2548
19.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
13119
104.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17455
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12337
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15633
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2386
88.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1562
57.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3415
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
1314
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
535
714.0 IPS |
|
|
Text Classification (Q)
|
97% |
1245
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2128
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1016
17.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2976
59.8 IPS |
