Google Pixel 8a
Geekbench AI Score
1931
Single Precision Score
1898
Half Precision Score
3136
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 31 2025 10:43 PM |
| Views | 2 |
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% |
1310
243.6 IPS |
|
|
Image Classification (HP)
|
100% |
1528
284.1 IPS |
|
|
Image Classification (Q)
|
100% |
2440
453.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1660
26.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2611
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2910
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2811
3.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
6544
7.76 IPS |
|
|
Object Detection (SP)
|
98% |
1394
111.0 IPS |
|
|
Object Detection (HP)
|
98% |
1404
111.7 IPS |
|
|
Object Detection (Q)
|
83% |
2369
191.3 IPS |
|
|
Face Detection (SP)
|
100% |
3000
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
2914
34.6 IPS |
|
|
Face Detection (Q)
|
95% |
5430
64.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2757
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2819
21.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5174
47.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6927
8.99 IPS |
|
|
Style Transfer (HP)
|
89% |
6857
8.90 IPS |
|
|
Style Transfer (Q)
|
98% |
14030
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1471
54.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1460
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3755
139.1 IPS |
|
|
Text Classification (SP)
|
100% |
748
997.9 IPS |
|
|
Text Classification (HP)
|
99% |
664
886.9 IPS |
|
|
Text Classification (Q)
|
88% |
1094
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1213
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1113
19.2 IPS |
|
|
Machine Translation (Q)
|
50% |
577
20.5 IPS |
