Google Pixel 8a
Geekbench AI Score
1435
Single Precision Score
1419
Half Precision Score
2110
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 07 2025 03:18 AM |
| Views | 11 |
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% |
1308
243.3 IPS |
|
|
Image Classification (HP)
|
100% |
1428
265.6 IPS |
|
|
Image Classification (Q)
|
100% |
2320
431.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1496
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1557
25.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2574
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2538
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2139
2.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
4478
5.31 IPS |
|
|
Object Detection (SP)
|
98% |
995
79.2 IPS |
|
|
Object Detection (HP)
|
98% |
996
79.2 IPS |
|
|
Object Detection (Q)
|
83% |
1454
117.5 IPS |
|
|
Face Detection (SP)
|
100% |
2165
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2141
25.4 IPS |
|
|
Face Detection (Q)
|
95% |
3345
39.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2016
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2045
15.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3043
27.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5012
6.51 IPS |
|
|
Style Transfer (HP)
|
89% |
5036
6.54 IPS |
|
|
Style Transfer (Q)
|
98% |
9330
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
980
36.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1975
73.2 IPS |
|
|
Text Classification (SP)
|
100% |
395
527.7 IPS |
|
|
Text Classification (HP)
|
99% |
340
453.3 IPS |
|
|
Text Classification (Q)
|
88% |
509
687.1 IPS |
|
|
Machine Translation (SP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
954
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
472
16.7 IPS |
