Google Pixel 6a
Geekbench AI Score
876
Single Precision Score
1172
Half Precision Score
1016
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | tocophonic |
| Upload Date | November 21 2025 08:56 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
405
75.2 IPS |
|
|
Image Classification (HP)
|
100% |
500
92.9 IPS |
|
|
Image Classification (Q)
|
97% |
532
99.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1771
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5709
6.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
9900
11.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9658
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
332
26.4 IPS |
|
|
Object Detection (HP)
|
99% |
472
37.4 IPS |
|
|
Object Detection (Q)
|
83% |
488
39.4 IPS |
|
|
Face Detection (SP)
|
100% |
1860
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
2538
30.2 IPS |
|
|
Face Detection (Q)
|
96% |
2289
27.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3071
23.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4256
32.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
3939
37.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9760
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19186
24.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19015
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1236
45.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1967
72.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1956
72.5 IPS |
|
|
Text Classification (SP)
|
35% |
17
155.4 IPS |
|
|
Text Classification (HP)
|
29% |
12
209.4 IPS |
|
|
Text Classification (Q)
|
29% |
11
186.1 IPS |
|
|
Machine Translation (SP)
|
100% |
229
3.94 IPS |
|
|
Machine Translation (HP)
|
100% |
242
4.18 IPS |
|
|
Machine Translation (Q)
|
43% |
72
4.21 IPS |
