ASUS ROG Zephyrus G16 ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CX_GU605CX
Geekbench AI Score
22871
Single Precision Score
39757
Half Precision Score
18383
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | April 17 2025 11:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CX_GU605CX |
| Motherboard | ASUSTeK COMPUTER INC. GU605CX |
| Power Plan | Turbo |
| 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% |
9543
1.77 KIPS |
|
|
Image Classification (HP)
|
100% |
15379
2.86 KIPS |
|
|
Image Classification (Q)
|
100% |
8463
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15170
245.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20513
332.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
14167
230.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
148067
172.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
418532
488.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
124592
145.9 IPS |
|
|
Object Detection (SP)
|
100% |
11945
947.5 IPS |
|
|
Object Detection (HP)
|
100% |
18769
1.49 KIPS |
|
|
Object Detection (Q)
|
86% |
10626
853.7 IPS |
|
|
Face Detection (SP)
|
100% |
33122
393.6 IPS |
|
|
Face Detection (HP)
|
100% |
46665
554.5 IPS |
|
|
Face Detection (Q)
|
97% |
28900
344.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
56862
438.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
132817
1.02 KIPS |
|
|
Depth Estimation (Q)
|
78% |
45147
360.5 IPS |
|
|
Style Transfer (SP)
|
100% |
215749
277.3 IPS |
|
|
Style Transfer (HP)
|
100% |
676928
870.2 IPS |
|
|
Style Transfer (Q)
|
98% |
196510
253.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32064
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60058
2.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25726
952.6 IPS |
|
|
Text Classification (SP)
|
100% |
2773
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (Q)
|
97% |
1854
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4235
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4284
73.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2271
42.6 IPS |
