Google Pixel 8a
Geekbench AI Score
1488
Single Precision Score
1460
Half Precision Score
2148
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | January 10 2026 11:33 AM |
| Views | 6 |
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% |
1379
256.5 IPS |
|
|
Image Classification (HP)
|
100% |
1424
264.9 IPS |
|
|
Image Classification (Q)
|
100% |
2483
461.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1591
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2050
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2629
3.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2142
2.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
4491
5.33 IPS |
|
|
Object Detection (SP)
|
98% |
991
78.9 IPS |
|
|
Object Detection (HP)
|
98% |
908
72.3 IPS |
|
|
Object Detection (Q)
|
83% |
1460
117.9 IPS |
|
|
Face Detection (SP)
|
100% |
2154
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
2180
25.9 IPS |
|
|
Face Detection (Q)
|
95% |
3392
40.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2112
16.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2125
16.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3092
28.3 IPS |
|
|
Style Transfer (SP)
|
89% |
4983
6.47 IPS |
|
|
Style Transfer (HP)
|
89% |
4993
6.48 IPS |
|
|
Style Transfer (Q)
|
98% |
8969
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1014
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1028
38.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2297
85.1 IPS |
|
|
Text Classification (SP)
|
100% |
449
599.3 IPS |
|
|
Text Classification (HP)
|
99% |
446
595.3 IPS |
|
|
Text Classification (Q)
|
88% |
644
868.2 IPS |
|
|
Machine Translation (SP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (Q)
|
50% |
451
16.0 IPS |
