Google Pixel 6a
Geekbench AI Score
986
Single Precision Score
967
Half Precision Score
1786
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 03:17 AM |
| Views | 6 |
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 | 5.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
508
94.4 IPS |
|
|
Image Classification (HP)
|
100% |
489
90.9 IPS |
|
|
Image Classification (Q)
|
100% |
1351
251.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
588
9.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
587
9.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
1461
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2095
2.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
2059
2.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
2979
3.53 IPS |
|
|
Object Detection (SP)
|
100% |
439
34.8 IPS |
|
|
Object Detection (HP)
|
100% |
440
34.9 IPS |
|
|
Object Detection (Q)
|
83% |
1208
97.6 IPS |
|
|
Face Detection (SP)
|
100% |
1401
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
1348
16.0 IPS |
|
|
Face Detection (Q)
|
95% |
2790
33.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1779
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1742
13.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2773
25.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3217
4.18 IPS |
|
|
Style Transfer (HP)
|
89% |
3192
4.14 IPS |
|
|
Style Transfer (Q)
|
98% |
6179
7.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
957
35.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
962
35.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1588
58.8 IPS |
|
|
Text Classification (SP)
|
100% |
530
707.6 IPS |
|
|
Text Classification (HP)
|
100% |
518
691.3 IPS |
|
|
Text Classification (Q)
|
88% |
1074
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
741
12.8 IPS |
|
|
Machine Translation (Q)
|
50% |
571
20.3 IPS |
