Google Pixel 8a
Geekbench AI Score
1495
Single Precision Score
1474
Half Precision Score
1904
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2025 11:00 AM |
| Views | 12 |
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% |
1337
248.6 IPS |
|
|
Image Classification (HP)
|
100% |
1406
261.5 IPS |
|
|
Image Classification (Q)
|
100% |
2499
464.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1576
25.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2523
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2644
3.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2167
2.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
4483
5.32 IPS |
|
|
Object Detection (SP)
|
98% |
1004
79.9 IPS |
|
|
Object Detection (HP)
|
98% |
1004
79.9 IPS |
|
|
Object Detection (Q)
|
83% |
1361
110.0 IPS |
|
|
Face Detection (SP)
|
100% |
2209
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
2220
26.4 IPS |
|
|
Face Detection (Q)
|
95% |
3419
40.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2046
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2048
15.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3419
31.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5043
6.55 IPS |
|
|
Style Transfer (HP)
|
89% |
4994
6.48 IPS |
|
|
Style Transfer (Q)
|
98% |
9462
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1003
37.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1019
37.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2269
84.1 IPS |
|
|
Text Classification (SP)
|
100% |
451
602.1 IPS |
|
|
Text Classification (HP)
|
99% |
452
603.6 IPS |
|
|
Text Classification (Q)
|
88% |
158
213.1 IPS |
|
|
Machine Translation (SP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
961
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
411
14.6 IPS |
