Google Pixel 8a
Geekbench AI Score
1299
Single Precision Score
1285
Half Precision Score
1782
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 27 2025 03:28 AM |
| Views | 10 |
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% |
1252
232.9 IPS |
|
|
Image Classification (HP)
|
100% |
1399
260.2 IPS |
|
|
Image Classification (Q)
|
100% |
2204
409.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1533
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2173
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2306
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2019
2.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
4309
5.11 IPS |
|
|
Object Detection (SP)
|
98% |
765
60.9 IPS |
|
|
Object Detection (HP)
|
98% |
700
55.7 IPS |
|
|
Object Detection (Q)
|
83% |
981
79.2 IPS |
|
|
Face Detection (SP)
|
100% |
1606
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
1573
18.7 IPS |
|
|
Face Detection (Q)
|
95% |
2271
27.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2012
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2047
15.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3394
31.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5027
6.53 IPS |
|
|
Style Transfer (HP)
|
89% |
5077
6.59 IPS |
|
|
Style Transfer (Q)
|
98% |
5958
7.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
892
33.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
857
31.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1696
62.8 IPS |
|
|
Text Classification (SP)
|
100% |
306
407.9 IPS |
|
|
Text Classification (HP)
|
99% |
304
405.8 IPS |
|
|
Text Classification (Q)
|
88% |
439
592.1 IPS |
|
|
Machine Translation (SP)
|
100% |
862
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
954
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
467
16.6 IPS |
