Google Pixel 8a
Geekbench AI Score
1438
Single Precision Score
1390
Half Precision Score
2089
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 02:29 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 8a |
| Model ID | Google Pixel 8a |
| Motherboard | akita |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.37 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1345
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
1383
257.2 IPS |
|
|
Image Classification (Q)
|
100% |
2300
427.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1634
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2356
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2517
2.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
2018
2.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
4536
5.38 IPS |
|
|
Object Detection (SP)
|
98% |
979
77.9 IPS |
|
|
Object Detection (HP)
|
98% |
939
74.7 IPS |
|
|
Object Detection (Q)
|
83% |
1459
117.8 IPS |
|
|
Face Detection (SP)
|
100% |
2165
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
1901
22.6 IPS |
|
|
Face Detection (Q)
|
95% |
2930
35.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2066
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2083
16.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3071
28.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5003
6.49 IPS |
|
|
Style Transfer (HP)
|
89% |
5039
6.54 IPS |
|
|
Style Transfer (Q)
|
98% |
9397
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
999
36.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
974
36.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1992
73.8 IPS |
|
|
Text Classification (SP)
|
100% |
354
471.9 IPS |
|
|
Text Classification (HP)
|
99% |
354
472.7 IPS |
|
|
Text Classification (Q)
|
88% |
638
860.6 IPS |
|
|
Machine Translation (SP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
924
15.9 IPS |
|
|
Machine Translation (Q)
|
50% |
412
14.6 IPS |
