ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CR_GU605CR
Geekbench AI Score
6135
Single Precision Score
6461
Half Precision Score
14788
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | rrevi |
| Upload Date | January 15 2026 04:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| 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% |
4331
805.5 IPS |
|
|
Image Classification (HP)
|
100% |
4473
831.8 IPS |
|
|
Image Classification (Q)
|
100% |
10790
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4814
78.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2794
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10437
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8585
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8263
9.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
29184
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
3071
243.6 IPS |
|
|
Object Detection (HP)
|
100% |
4265
338.3 IPS |
|
|
Object Detection (Q)
|
88% |
10843
869.2 IPS |
|
|
Face Detection (SP)
|
100% |
9744
115.8 IPS |
|
|
Face Detection (HP)
|
100% |
11838
140.7 IPS |
|
|
Face Detection (Q)
|
100% |
19154
227.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8966
69.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10055
77.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
25796
200.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24366
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23159
29.8 IPS |
|
|
Style Transfer (Q)
|
98% |
81448
105.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4472
165.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5231
193.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16172
598.9 IPS |
|
|
Text Classification (SP)
|
100% |
3792
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3462
4.62 KIPS |
|
|
Text Classification (Q)
|
92% |
5793
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3811
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5772
99.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3724
64.2 IPS |
