ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CR_GU605CR
Geekbench AI Score
6216
Single Precision Score
9675
Half Precision Score
14833
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | rrevi |
| Upload Date | January 15 2026 04:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CR_GU605CR |
| Motherboard | ASUSTeK COMPUTER INC. GU605CR |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4513
839.4 IPS |
|
|
Image Classification (HP)
|
100% |
6543
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
9282
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4675
75.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2717
44.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3292
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8923
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32859
38.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
71617
83.9 IPS |
|
|
Object Detection (SP)
|
100% |
2972
235.7 IPS |
|
|
Object Detection (HP)
|
100% |
5653
448.4 IPS |
|
|
Object Detection (Q)
|
88% |
9820
787.3 IPS |
|
|
Face Detection (SP)
|
100% |
9217
109.5 IPS |
|
|
Face Detection (HP)
|
100% |
17396
206.7 IPS |
|
|
Face Detection (Q)
|
100% |
31689
376.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9180
70.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18720
144.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
34814
270.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25073
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
55797
71.7 IPS |
|
|
Style Transfer (Q)
|
98% |
99627
128.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4765
175.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15847
585.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28892
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
4069
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1849
2.47 KIPS |
|
|
Text Classification (Q)
|
92% |
1899
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3748
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4091
70.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3979
68.5 IPS |
