ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CX_GU605CX_000826048
Geekbench AI Score
3456
Single Precision Score
3381
Half Precision Score
8844
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 05:13 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 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CX_GU605CX_000826048 |
| Motherboard | ASUSTeK COMPUTER INC. GU605CX |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2437
453.3 IPS |
|
|
Image Classification (HP)
|
100% |
3977
739.7 IPS |
|
|
Image Classification (Q)
|
100% |
8842
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2504
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5633
91.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7123
8.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
6715
7.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
19192
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
1540
122.2 IPS |
|
|
Object Detection (HP)
|
100% |
1430
113.4 IPS |
|
|
Object Detection (Q)
|
88% |
8761
702.3 IPS |
|
|
Face Detection (SP)
|
100% |
4123
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
4241
50.4 IPS |
|
|
Face Detection (Q)
|
100% |
9171
109.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5286
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4610
35.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
15375
119.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15434
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12152
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
50725
65.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2900
107.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2175
80.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8907
329.9 IPS |
|
|
Text Classification (SP)
|
100% |
2571
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1877
2.51 KIPS |
|
|
Text Classification (Q)
|
92% |
4402
5.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1452
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3241
55.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1247
21.5 IPS |
