ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CW_GU605CW
Geekbench AI Score
20799
Single Precision Score
37440
Half Precision Score
16425
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Betancd |
| Upload Date | March 15 2026 06:08 PM |
| Views | 8 |
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% |
7774
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
15066
2.80 KIPS |
|
|
Image Classification (Q)
|
100% |
7479
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16765
271.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
25115
407.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14268
232.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
104120
121.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
299617
349.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
94306
110.5 IPS |
|
|
Object Detection (SP)
|
100% |
10208
809.7 IPS |
|
|
Object Detection (HP)
|
100% |
18780
1.49 KIPS |
|
|
Object Detection (Q)
|
86% |
8869
712.6 IPS |
|
|
Face Detection (SP)
|
100% |
30498
362.4 IPS |
|
|
Face Detection (HP)
|
100% |
45629
542.2 IPS |
|
|
Face Detection (Q)
|
97% |
26210
312.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
47756
367.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95143
733.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
35722
285.4 IPS |
|
|
Style Transfer (SP)
|
100% |
176654
227.1 IPS |
|
|
Style Transfer (HP)
|
100% |
558867
718.4 IPS |
|
|
Style Transfer (Q)
|
98% |
156338
201.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28038
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52390
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24942
923.6 IPS |
|
|
Text Classification (SP)
|
100% |
3152
4.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4033
5.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1767
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4812
82.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4959
85.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2483
46.6 IPS |
