Google Pixel 8a
Geekbench AI Score
1489
Single Precision Score
1452
Half Precision Score
2137
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | January 03 2026 02:37 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G3 |
| 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 | 7.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1383
257.2 IPS |
|
|
Image Classification (HP)
|
100% |
1398
260.1 IPS |
|
|
Image Classification (Q)
|
100% |
2273
422.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1591
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2360
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2621
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2134
2.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
4409
5.23 IPS |
|
|
Object Detection (SP)
|
98% |
993
79.0 IPS |
|
|
Object Detection (HP)
|
98% |
910
72.4 IPS |
|
|
Object Detection (Q)
|
83% |
1324
107.0 IPS |
|
|
Face Detection (SP)
|
100% |
2212
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
2184
26.0 IPS |
|
|
Face Detection (Q)
|
95% |
3313
39.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2022
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2049
15.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3324
30.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5009
6.50 IPS |
|
|
Style Transfer (HP)
|
89% |
4993
6.48 IPS |
|
|
Style Transfer (Q)
|
98% |
9401
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1012
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1025
37.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2293
85.0 IPS |
|
|
Text Classification (SP)
|
100% |
448
598.2 IPS |
|
|
Text Classification (HP)
|
99% |
441
588.6 IPS |
|
|
Text Classification (Q)
|
88% |
616
830.2 IPS |
|
|
Machine Translation (SP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
50% |
435
15.5 IPS |
