ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CW_GU605CW
Geekbench AI Score
20884
Single Precision Score
37453
Half Precision Score
16813
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Betancd |
| Upload Date | April 28 2025 09:13 PM |
| Views | 2 |
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(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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7588
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
13624
2.53 KIPS |
|
|
Image Classification (Q)
|
100% |
7135
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15980
259.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23744
384.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
13981
227.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
111658
130.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
301911
352.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
100750
118.0 IPS |
|
|
Object Detection (SP)
|
100% |
10440
828.1 IPS |
|
|
Object Detection (HP)
|
100% |
19876
1.58 KIPS |
|
|
Object Detection (Q)
|
86% |
9031
725.6 IPS |
|
|
Face Detection (SP)
|
100% |
32448
385.5 IPS |
|
|
Face Detection (HP)
|
100% |
48520
576.5 IPS |
|
|
Face Detection (Q)
|
97% |
27414
326.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
47178
363.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98154
756.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
38788
309.9 IPS |
|
|
Style Transfer (SP)
|
100% |
183031
235.3 IPS |
|
|
Style Transfer (HP)
|
100% |
606218
779.3 IPS |
|
|
Style Transfer (Q)
|
98% |
178162
229.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29757
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52967
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23633
875.1 IPS |
|
|
Text Classification (SP)
|
100% |
2708
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
3616
4.83 KIPS |
|
|
Text Classification (Q)
|
97% |
1788
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4945
85.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5060
87.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2485
46.6 IPS |
