Google Pixel 8a
Geekbench AI Score
1387
Single Precision Score
1340
Half Precision Score
1869
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 01:57 AM |
| Views | 2 |
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% |
1382
257.0 IPS |
|
|
Image Classification (HP)
|
100% |
1431
266.1 IPS |
|
|
Image Classification (Q)
|
100% |
1117
207.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2371
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2143
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2064
2.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
4522
5.36 IPS |
|
|
Object Detection (SP)
|
98% |
963
76.6 IPS |
|
|
Object Detection (HP)
|
98% |
886
70.5 IPS |
|
|
Object Detection (Q)
|
83% |
1111
89.7 IPS |
|
|
Face Detection (SP)
|
100% |
1712
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
1696
20.2 IPS |
|
|
Face Detection (Q)
|
95% |
3138
37.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2016
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2091
16.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3422
31.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5032
6.53 IPS |
|
|
Style Transfer (HP)
|
89% |
5028
6.53 IPS |
|
|
Style Transfer (Q)
|
98% |
9440
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
990
36.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
895
33.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1817
67.3 IPS |
|
|
Text Classification (SP)
|
100% |
349
466.3 IPS |
|
|
Text Classification (HP)
|
99% |
309
413.0 IPS |
|
|
Text Classification (Q)
|
88% |
451
608.6 IPS |
|
|
Machine Translation (SP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
914
15.7 IPS |
|
|
Machine Translation (Q)
|
50% |
471
16.7 IPS |
