ASUS ROG Zephyrus G16 ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CX_GU605CX
Geekbench AI Score
5480
Single Precision Score
4198
Half Precision Score
12998
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | April 17 2025 11:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
3554
661.0 IPS |
|
|
Image Classification (HP)
|
100% |
1484
275.9 IPS |
|
|
Image Classification (Q)
|
100% |
8076
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4097
66.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2527
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8736
141.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8210
9.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
7725
9.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
29272
34.3 IPS |
|
|
Object Detection (SP)
|
100% |
2835
224.9 IPS |
|
|
Object Detection (HP)
|
100% |
1798
142.6 IPS |
|
|
Object Detection (Q)
|
88% |
8121
651.0 IPS |
|
|
Face Detection (SP)
|
100% |
9059
107.6 IPS |
|
|
Face Detection (HP)
|
100% |
5237
62.2 IPS |
|
|
Face Detection (Q)
|
100% |
19215
228.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8322
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6783
52.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
23872
185.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21942
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21675
27.9 IPS |
|
|
Style Transfer (Q)
|
98% |
79036
101.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4478
165.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4857
179.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14598
540.6 IPS |
|
|
Text Classification (SP)
|
100% |
3695
4.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (Q)
|
92% |
6011
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2636
45.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2686
46.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2580
44.4 IPS |
