Google Pixel 8a
Geekbench AI Score
1483
Single Precision Score
1665
Half Precision Score
2254
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 14 2026 09:59 AM |
| Views | 3 |
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 | 7.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1370
254.9 IPS |
|
|
Image Classification (HP)
|
100% |
1213
225.6 IPS |
|
|
Image Classification (Q)
|
99% |
2526
471.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1551
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1461
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1605
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2638
3.08 IPS |
|
|
Pose Estimation (HP)
|
92% |
4344
5.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
4794
5.62 IPS |
|
|
Object Detection (SP)
|
98% |
912
72.6 IPS |
|
|
Object Detection (HP)
|
97% |
689
54.8 IPS |
|
|
Object Detection (Q)
|
85% |
1474
118.8 IPS |
|
|
Face Detection (SP)
|
100% |
2218
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
2411
28.6 IPS |
|
|
Face Detection (Q)
|
97% |
3431
40.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2085
16.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2773
21.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3362
30.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5045
6.55 IPS |
|
|
Style Transfer (HP)
|
88% |
4784
6.21 IPS |
|
|
Style Transfer (Q)
|
98% |
9470
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1037
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1672
62.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2396
88.8 IPS |
|
|
Text Classification (SP)
|
100% |
423
565.0 IPS |
|
|
Text Classification (HP)
|
100% |
624
832.4 IPS |
|
|
Text Classification (Q)
|
93% |
661
887.5 IPS |
|
|
Machine Translation (SP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (HP)
|
96% |
927
16.0 IPS |
|
|
Machine Translation (Q)
|
55% |
684
18.4 IPS |
