Google Pixel 8a
Geekbench AI Score
1449
Single Precision Score
1445
Half Precision Score
2141
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | January 27 2026 12:20 PM |
| Views | 4 |
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% |
1382
257.0 IPS |
|
|
Image Classification (HP)
|
100% |
1416
263.4 IPS |
|
|
Image Classification (Q)
|
100% |
2473
460.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1467
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2519
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2639
3.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2121
2.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
4461
5.29 IPS |
|
|
Object Detection (SP)
|
98% |
986
78.5 IPS |
|
|
Object Detection (HP)
|
98% |
979
77.9 IPS |
|
|
Object Detection (Q)
|
83% |
1306
105.5 IPS |
|
|
Face Detection (SP)
|
100% |
2165
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2138
25.4 IPS |
|
|
Face Detection (Q)
|
95% |
3324
39.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1938
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2082
16.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3116
28.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5017
6.51 IPS |
|
|
Style Transfer (HP)
|
89% |
4931
6.40 IPS |
|
|
Style Transfer (Q)
|
98% |
8392
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
970
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
988
36.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2215
82.1 IPS |
|
|
Text Classification (SP)
|
100% |
445
594.4 IPS |
|
|
Text Classification (HP)
|
99% |
438
585.0 IPS |
|
|
Text Classification (Q)
|
88% |
638
860.5 IPS |
|
|
Machine Translation (SP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
883
15.2 IPS |
|
|
Machine Translation (Q)
|
50% |
455
16.2 IPS |
