Google Pixel 6
Geekbench AI Score
883
Single Precision Score
889
Half Precision Score
1625
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Chibisevich |
| Upload Date | March 10 2025 10:43 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 6 |
| Model ID | Google Pixel 6 |
| Motherboard | oriole |
| Governor | sched_pixel |
| 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 | 7.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
472
87.8 IPS |
|
|
Image Classification (HP)
|
100% |
468
87.0 IPS |
|
|
Image Classification (Q)
|
100% |
1274
237.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
541
8.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
541
8.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
1350
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1761
2.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
1887
2.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
2682
3.18 IPS |
|
|
Object Detection (SP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (HP)
|
100% |
384
30.4 IPS |
|
|
Object Detection (Q)
|
83% |
1050
84.9 IPS |
|
|
Face Detection (SP)
|
100% |
1226
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
1231
14.6 IPS |
|
|
Face Detection (Q)
|
95% |
2419
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1556
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1497
11.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2351
21.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2800
3.63 IPS |
|
|
Style Transfer (HP)
|
89% |
2782
3.61 IPS |
|
|
Style Transfer (Q)
|
98% |
5796
7.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
917
33.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
925
34.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1512
56.0 IPS |
|
|
Text Classification (SP)
|
100% |
481
642.0 IPS |
|
|
Text Classification (HP)
|
100% |
505
674.7 IPS |
|
|
Text Classification (Q)
|
88% |
991
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
537
19.1 IPS |
