Google Pixel 8a
Geekbench AI Score
1477
Single Precision Score
1455
Half Precision Score
2206
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 20 2025 02:31 AM |
| Views | 11 |
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% |
1358
252.6 IPS |
|
|
Image Classification (HP)
|
100% |
1353
251.6 IPS |
|
|
Image Classification (Q)
|
100% |
2504
465.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2422
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2606
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2137
2.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
4514
5.35 IPS |
|
|
Object Detection (SP)
|
98% |
988
78.6 IPS |
|
|
Object Detection (HP)
|
98% |
1002
79.7 IPS |
|
|
Object Detection (Q)
|
83% |
1451
117.2 IPS |
|
|
Face Detection (SP)
|
100% |
2172
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2196
26.1 IPS |
|
|
Face Detection (Q)
|
95% |
3381
40.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2024
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2058
15.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3105
28.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5027
6.53 IPS |
|
|
Style Transfer (HP)
|
89% |
5036
6.54 IPS |
|
|
Style Transfer (Q)
|
98% |
9409
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
976
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1015
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2281
84.5 IPS |
|
|
Text Classification (SP)
|
100% |
438
584.5 IPS |
|
|
Text Classification (HP)
|
99% |
432
576.4 IPS |
|
|
Text Classification (Q)
|
88% |
649
875.7 IPS |
|
|
Machine Translation (SP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
470
16.7 IPS |
