Google Pixel 6 Pro
Geekbench AI Score
594
Single Precision Score
579
Half Precision Score
1030
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Lntano |
| Upload Date | July 28 2025 11:23 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 6 Pro |
| Model ID | Google Pixel 6 Pro |
| Motherboard | raven |
| Governor | powersave |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.25 GHz |
| Cluster 3 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
274
51.0 IPS |
|
|
Image Classification (HP)
|
100% |
273
50.8 IPS |
|
|
Image Classification (Q)
|
100% |
850
158.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
353
5.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
350
5.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
816
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1114
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
974
1.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
1407
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
186
14.8 IPS |
|
|
Object Detection (Q)
|
83% |
619
50.0 IPS |
|
|
Face Detection (SP)
|
100% |
849
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
847
10.1 IPS |
|
|
Face Detection (Q)
|
95% |
1443
17.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1140
8.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
1058
8.15 IPS |
|
|
Depth Estimation (Q)
|
64% |
1426
13.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1978
2.57 IPS |
|
|
Style Transfer (HP)
|
89% |
2068
2.68 IPS |
|
|
Style Transfer (Q)
|
98% |
4053
5.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
653
24.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
643
23.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1033
38.3 IPS |
|
|
Text Classification (SP)
|
100% |
347
462.8 IPS |
|
|
Text Classification (HP)
|
100% |
392
522.7 IPS |
|
|
Text Classification (Q)
|
88% |
677
912.5 IPS |
|
|
Machine Translation (SP)
|
100% |
517
8.91 IPS |
|
|
Machine Translation (HP)
|
100% |
525
9.05 IPS |
|
|
Machine Translation (Q)
|
50% |
382
13.6 IPS |
