Google Pixel 8a
Geekbench AI Score
1502
Single Precision Score
1636
Half Precision Score
2362
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | February 15 2026 10:31 AM |
| Views | 8 |
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% |
1473
274.0 IPS |
|
|
Image Classification (HP)
|
100% |
1240
230.6 IPS |
|
|
Image Classification (Q)
|
99% |
2401
447.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1557
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2803
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2620
3.06 IPS |
|
|
Pose Estimation (HP)
|
92% |
4065
4.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
4784
5.61 IPS |
|
|
Object Detection (SP)
|
98% |
938
74.7 IPS |
|
|
Object Detection (HP)
|
97% |
692
55.1 IPS |
|
|
Object Detection (Q)
|
85% |
1467
118.2 IPS |
|
|
Face Detection (SP)
|
100% |
2222
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
2331
27.7 IPS |
|
|
Face Detection (Q)
|
97% |
3457
41.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2024
15.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2944
22.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3377
31.0 IPS |
|
|
Style Transfer (SP)
|
89% |
5059
6.57 IPS |
|
|
Style Transfer (HP)
|
88% |
4786
6.22 IPS |
|
|
Style Transfer (Q)
|
98% |
9565
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1024
37.8 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1583
58.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2405
89.1 IPS |
|
|
Text Classification (SP)
|
100% |
436
581.7 IPS |
|
|
Text Classification (HP)
|
100% |
568
758.8 IPS |
|
|
Text Classification (Q)
|
93% |
627
842.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (HP)
|
96% |
931
16.1 IPS |
|
|
Machine Translation (Q)
|
55% |
681
18.3 IPS |
