Google Pixel 8a
Geekbench AI Score
1451
Single Precision Score
1450
Half Precision Score
1868
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | February 07 2026 07:53 AM |
| Views | 3 |
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% |
1285
239.0 IPS |
|
|
Image Classification (HP)
|
100% |
1355
252.1 IPS |
|
|
Image Classification (Q)
|
100% |
2429
451.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1308
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2517
2.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
2061
2.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
4535
5.38 IPS |
|
|
Object Detection (SP)
|
98% |
995
79.2 IPS |
|
|
Object Detection (HP)
|
98% |
992
79.0 IPS |
|
|
Object Detection (Q)
|
83% |
1102
89.0 IPS |
|
|
Face Detection (SP)
|
100% |
2160
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2196
26.1 IPS |
|
|
Face Detection (Q)
|
95% |
3126
37.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2013
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2026
15.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3041
27.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5008
6.50 IPS |
|
|
Style Transfer (HP)
|
89% |
4975
6.46 IPS |
|
|
Style Transfer (Q)
|
98% |
9418
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
971
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1036
38.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2289
84.8 IPS |
|
|
Text Classification (SP)
|
100% |
428
571.5 IPS |
|
|
Text Classification (HP)
|
99% |
439
585.7 IPS |
|
|
Text Classification (Q)
|
88% |
352
474.4 IPS |
|
|
Machine Translation (SP)
|
100% |
895
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (Q)
|
50% |
454
16.1 IPS |
