Google Pixel 8a
Geekbench AI Score
1314
Single Precision Score
1320
Half Precision Score
1947
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 16 2025 02:39 AM |
| 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% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
1391
258.7 IPS |
|
|
Image Classification (Q)
|
100% |
2377
442.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1486
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2528
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2518
2.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
2069
2.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
4333
5.14 IPS |
|
|
Object Detection (SP)
|
98% |
762
60.6 IPS |
|
|
Object Detection (HP)
|
98% |
690
54.9 IPS |
|
|
Object Detection (Q)
|
83% |
976
78.8 IPS |
|
|
Face Detection (SP)
|
100% |
1603
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
1644
19.5 IPS |
|
|
Face Detection (Q)
|
95% |
3111
37.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2090
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2101
16.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3079
28.2 IPS |
|
|
Style Transfer (SP)
|
89% |
5003
6.49 IPS |
|
|
Style Transfer (HP)
|
89% |
4977
6.46 IPS |
|
|
Style Transfer (Q)
|
98% |
9557
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
994
36.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
897
33.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1705
63.2 IPS |
|
|
Text Classification (SP)
|
100% |
348
464.2 IPS |
|
|
Text Classification (HP)
|
99% |
350
467.3 IPS |
|
|
Text Classification (Q)
|
88% |
430
580.1 IPS |
|
|
Machine Translation (SP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
954
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
460
16.3 IPS |
