Google Pixel 8a
Geekbench AI Score
1366
Single Precision Score
1322
Half Precision Score
1991
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 02:11 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G3 |
| 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 | 7.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
1356
252.2 IPS |
|
|
Image Classification (Q)
|
100% |
2431
452.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1562
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2546
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2561
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2134
2.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
4377
5.19 IPS |
|
|
Object Detection (SP)
|
98% |
759
60.4 IPS |
|
|
Object Detection (HP)
|
98% |
693
55.1 IPS |
|
|
Object Detection (Q)
|
83% |
993
80.2 IPS |
|
|
Face Detection (SP)
|
100% |
1592
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
1620
19.3 IPS |
|
|
Face Detection (Q)
|
95% |
2413
28.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1944
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2101
16.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3357
30.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5011
6.50 IPS |
|
|
Style Transfer (HP)
|
89% |
4978
6.46 IPS |
|
|
Style Transfer (Q)
|
98% |
9644
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1001
36.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
996
36.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2023
74.9 IPS |
|
|
Text Classification (SP)
|
100% |
384
513.1 IPS |
|
|
Text Classification (HP)
|
99% |
319
426.0 IPS |
|
|
Text Classification (Q)
|
88% |
515
694.4 IPS |
|
|
Machine Translation (SP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
449
15.9 IPS |
