Google Pixel 8a
Geekbench AI Score
1501
Single Precision Score
1478
Half Precision Score
2233
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | January 28 2026 11:40 AM |
| Views | 6 |
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% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
1488
276.6 IPS |
|
|
Image Classification (Q)
|
100% |
2552
474.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1716
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1613
26.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2785
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2846
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
2522
2.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
4702
5.58 IPS |
|
|
Object Detection (SP)
|
98% |
983
78.2 IPS |
|
|
Object Detection (HP)
|
98% |
900
71.6 IPS |
|
|
Object Detection (Q)
|
83% |
1450
117.2 IPS |
|
|
Face Detection (SP)
|
100% |
2163
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2139
25.4 IPS |
|
|
Face Detection (Q)
|
95% |
3355
40.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2019
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2087
16.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3087
28.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5010
6.50 IPS |
|
|
Style Transfer (HP)
|
89% |
4967
6.45 IPS |
|
|
Style Transfer (Q)
|
98% |
9482
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1003
37.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1015
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2303
85.3 IPS |
|
|
Text Classification (SP)
|
100% |
446
595.2 IPS |
|
|
Text Classification (HP)
|
99% |
436
582.4 IPS |
|
|
Text Classification (Q)
|
88% |
637
859.2 IPS |
|
|
Machine Translation (SP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (Q)
|
50% |
442
15.7 IPS |
