ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CX_GU605CX_000826048
Geekbench AI Score
22743
Single Precision Score
41330
Half Precision Score
17877
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 05:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 Laptop GPU |
| 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% |
8642
1.61 KIPS |
|
|
Image Classification (HP)
|
100% |
14516
2.70 KIPS |
|
|
Image Classification (Q)
|
100% |
7575
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17503
283.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
26851
435.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15231
247.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
139539
162.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
390362
455.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
115093
134.8 IPS |
|
|
Object Detection (SP)
|
100% |
11331
898.8 IPS |
|
|
Object Detection (HP)
|
100% |
20197
1.60 KIPS |
|
|
Object Detection (Q)
|
86% |
10025
805.4 IPS |
|
|
Face Detection (SP)
|
100% |
33573
398.9 IPS |
|
|
Face Detection (HP)
|
100% |
54657
649.4 IPS |
|
|
Face Detection (Q)
|
97% |
28998
345.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
51754
398.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
115839
892.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
41555
331.8 IPS |
|
|
Style Transfer (SP)
|
100% |
198955
255.8 IPS |
|
|
Style Transfer (HP)
|
100% |
672719
864.8 IPS |
|
|
Style Transfer (Q)
|
98% |
181621
234.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31533
1.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55729
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24063
891.0 IPS |
|
|
Text Classification (SP)
|
100% |
2717
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
3771
5.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1828
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5228
90.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5288
91.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2602
48.8 IPS |
