ASUS ROG Zephyrus G16 ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CX_GU605CX
Geekbench AI Score
5523
Single Precision Score
8615
Half Precision Score
12696
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | April 17 2025 11:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
3576
665.1 IPS |
|
|
Image Classification (HP)
|
100% |
5954
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
8028
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4165
67.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2584
41.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3411
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8340
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
32616
38.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
68586
80.3 IPS |
|
|
Object Detection (SP)
|
100% |
2822
223.8 IPS |
|
|
Object Detection (HP)
|
100% |
5280
418.8 IPS |
|
|
Object Detection (Q)
|
87% |
8170
655.7 IPS |
|
|
Face Detection (SP)
|
100% |
9320
110.7 IPS |
|
|
Face Detection (HP)
|
100% |
13739
163.2 IPS |
|
|
Face Detection (Q)
|
100% |
22331
265.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8207
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16999
131.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
31371
244.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22093
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
50360
64.7 IPS |
|
|
Style Transfer (Q)
|
98% |
85711
110.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4520
166.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13175
486.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20926
775.0 IPS |
|
|
Text Classification (SP)
|
100% |
3813
5.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1921
2.56 KIPS |
|
|
Text Classification (Q)
|
92% |
1951
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2587
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2856
49.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2893
49.8 IPS |
