Google Pixel 6a
Geekbench AI Score
1001
Single Precision Score
995
Half Precision Score
1846
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | r1348 |
| Upload Date | March 15 2025 05:04 PM |
| Views | 12 |
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 | 5.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
506
94.0 IPS |
|
|
Image Classification (HP)
|
100% |
503
93.5 IPS |
|
|
Image Classification (Q)
|
100% |
1348
250.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
566
9.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
571
9.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
1509
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2108
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2044
2.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
3024
3.59 IPS |
|
|
Object Detection (SP)
|
100% |
437
34.6 IPS |
|
|
Object Detection (HP)
|
100% |
447
35.4 IPS |
|
|
Object Detection (Q)
|
83% |
1226
99.0 IPS |
|
|
Face Detection (SP)
|
100% |
1352
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
1347
16.0 IPS |
|
|
Face Detection (Q)
|
95% |
2839
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1776
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1745
13.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2815
25.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3226
4.19 IPS |
|
|
Style Transfer (HP)
|
89% |
3198
4.15 IPS |
|
|
Style Transfer (Q)
|
98% |
6698
8.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1025
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1028
38.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1738
64.4 IPS |
|
|
Text Classification (SP)
|
100% |
571
762.4 IPS |
|
|
Text Classification (HP)
|
100% |
581
775.2 IPS |
|
|
Text Classification (Q)
|
88% |
1065
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (Q)
|
50% |
617
21.9 IPS |
