Google Pixel 6a
Geekbench AI Score
849
Single Precision Score
842
Half Precision Score
1466
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 22 2025 06:26 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 6a |
| Model ID | Google Pixel 6a |
| Motherboard | bluejay |
| 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 | 5.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
473
87.9 IPS |
|
|
Image Classification (HP)
|
100% |
472
87.8 IPS |
|
|
Image Classification (Q)
|
100% |
1261
234.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
540
8.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
538
8.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
1382
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1760
2.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
1737
2.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
2529
3.00 IPS |
|
|
Object Detection (SP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (HP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (Q)
|
83% |
910
73.5 IPS |
|
|
Face Detection (SP)
|
100% |
1152
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
1145
13.6 IPS |
|
|
Face Detection (Q)
|
95% |
2137
25.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1483
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1439
11.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
1892
17.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2636
3.42 IPS |
|
|
Style Transfer (HP)
|
89% |
2636
3.42 IPS |
|
|
Style Transfer (Q)
|
98% |
5249
6.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
839
31.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
841
31.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1358
50.3 IPS |
|
|
Text Classification (SP)
|
100% |
431
575.7 IPS |
|
|
Text Classification (HP)
|
100% |
481
642.0 IPS |
|
|
Text Classification (Q)
|
88% |
837
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
758
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (Q)
|
50% |
474
16.8 IPS |
