Google Pixel 8a
Geekbench AI Score
1365
Single Precision Score
1332
Half Precision Score
2031
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 06:28 PM |
| Views | 3 |
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% |
1353
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
1332
247.6 IPS |
|
|
Image Classification (Q)
|
100% |
2292
426.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1552
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1567
25.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2355
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2568
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2125
2.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
4500
5.34 IPS |
|
|
Object Detection (SP)
|
98% |
1007
80.1 IPS |
|
|
Object Detection (HP)
|
98% |
997
79.4 IPS |
|
|
Object Detection (Q)
|
83% |
1297
104.8 IPS |
|
|
Face Detection (SP)
|
100% |
1897
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
1716
20.4 IPS |
|
|
Face Detection (Q)
|
95% |
2529
30.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1551
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1979
15.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3371
30.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5053
6.56 IPS |
|
|
Style Transfer (HP)
|
89% |
5034
6.54 IPS |
|
|
Style Transfer (Q)
|
98% |
9415
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
985
36.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
991
36.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2274
84.3 IPS |
|
|
Text Classification (SP)
|
100% |
403
537.9 IPS |
|
|
Text Classification (HP)
|
99% |
390
519.9 IPS |
|
|
Text Classification (Q)
|
88% |
505
680.9 IPS |
|
|
Machine Translation (SP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (Q)
|
50% |
413
14.7 IPS |
