ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CX_GU605CX_000826048
Geekbench AI Score
4620
Single Precision Score
2011
Half Precision Score
8966
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 04:52 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% |
3708
689.5 IPS |
|
|
Image Classification (HP)
|
100% |
754
140.1 IPS |
|
|
Image Classification (Q)
|
99% |
8014
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1035
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10844
176.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8432
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
5843
6.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
27509
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
3348
265.6 IPS |
|
|
Object Detection (HP)
|
100% |
936
74.2 IPS |
|
|
Object Detection (Q)
|
86% |
7478
601.0 IPS |
|
|
Face Detection (SP)
|
100% |
6808
80.9 IPS |
|
|
Face Detection (HP)
|
100% |
2083
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
10769
128.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8478
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2910
22.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
17702
141.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19053
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13643
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
25565
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3643
134.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2653
98.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6137
227.2 IPS |
|
|
Text Classification (SP)
|
100% |
1916
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
926
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1648
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2598
44.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3813
76.6 IPS |
