ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CW_GU605CW
Geekbench AI Score
21679
Single Precision Score
37752
Half Precision Score
17172
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Betancd |
| Upload Date | March 17 2026 03:08 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| 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 Core 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% |
8556
1.59 KIPS |
|
|
Image Classification (HP)
|
100% |
15121
2.81 KIPS |
|
|
Image Classification (Q)
|
100% |
7895
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16597
269.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23882
387.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14788
240.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
112457
131.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
312350
364.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
102963
120.6 IPS |
|
|
Object Detection (SP)
|
100% |
10651
844.8 IPS |
|
|
Object Detection (HP)
|
100% |
17245
1.37 KIPS |
|
|
Object Detection (Q)
|
86% |
8935
717.9 IPS |
|
|
Face Detection (SP)
|
100% |
31360
372.6 IPS |
|
|
Face Detection (HP)
|
100% |
48575
577.2 IPS |
|
|
Face Detection (Q)
|
97% |
26417
315.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
50569
389.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
100909
777.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
39957
319.2 IPS |
|
|
Style Transfer (SP)
|
100% |
194760
250.4 IPS |
|
|
Style Transfer (HP)
|
100% |
574125
738.0 IPS |
|
|
Style Transfer (Q)
|
98% |
169752
218.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28553
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53292
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24264
898.5 IPS |
|
|
Text Classification (SP)
|
100% |
3002
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3879
5.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1871
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5094
87.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5197
89.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2552
47.9 IPS |
