Google Pixel 6a
Geekbench AI Score
1015
Single Precision Score
925
Half Precision Score
1853
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Timurfjg |
| Upload Date | October 22 2025 09:58 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 5.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
513
95.5 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.3 IPS |
|
|
Image Classification (Q)
|
100% |
1348
250.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
590
9.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
592
9.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
1528
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2145
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2075
2.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
3047
3.61 IPS |
|
|
Object Detection (SP)
|
100% |
449
35.6 IPS |
|
|
Object Detection (HP)
|
100% |
451
35.8 IPS |
|
|
Object Detection (Q)
|
83% |
1219
98.5 IPS |
|
|
Face Detection (SP)
|
100% |
1389
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
563
6.69 IPS |
|
|
Face Detection (Q)
|
95% |
2779
33.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1777
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1786
13.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2794
25.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3235
4.20 IPS |
|
|
Style Transfer (HP)
|
89% |
3256
4.23 IPS |
|
|
Style Transfer (Q)
|
98% |
6755
8.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1030
38.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1034
38.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1789
66.3 IPS |
|
|
Text Classification (SP)
|
100% |
581
775.6 IPS |
|
|
Text Classification (HP)
|
100% |
597
796.3 IPS |
|
|
Text Classification (Q)
|
88% |
1101
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
816
14.0 IPS |
|
|
Machine Translation (Q)
|
50% |
607
21.5 IPS |
