ASUS ROG Zephyrus G16 ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CX_GU605CX
Geekbench AI Score
5119
Single Precision Score
2035
Half Precision Score
8388
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | April 17 2025 10:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| 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% |
4084
759.6 IPS |
|
|
Image Classification (HP)
|
100% |
714
132.9 IPS |
|
|
Image Classification (Q)
|
99% |
8804
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2075
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3722
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8914
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
6458
7.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
31288
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
3471
275.3 IPS |
|
|
Object Detection (HP)
|
100% |
924
73.3 IPS |
|
|
Object Detection (Q)
|
86% |
7756
623.4 IPS |
|
|
Face Detection (SP)
|
100% |
10191
121.1 IPS |
|
|
Face Detection (HP)
|
100% |
2221
26.4 IPS |
|
|
Face Detection (Q)
|
97% |
11283
134.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10981
84.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3005
23.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
18766
149.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21534
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14617
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
26245
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4052
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2835
104.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4971
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
2024
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
914
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1956
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2388
41.1 IPS |
|
|
Machine Translation (HP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4014
80.7 IPS |
