Google Pixel 8a
Geekbench AI Score
344
Single Precision Score
3884
Half Precision Score
7402
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | January 27 2026 12:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
240
44.7 IPS |
|
|
Image Classification (HP)
|
100% |
5723
1.06 KIPS |
|
|
Image Classification (Q)
|
99% |
8633
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
6172
100.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15637
254.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
361
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30683
35.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
61793
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
3873
307.2 IPS |
|
|
Object Detection (Q)
|
87% |
5072
406.8 IPS |
|
|
Face Detection (SP)
|
100% |
526
6.26 IPS |
|
|
Face Detection (HP)
|
100% |
12178
144.7 IPS |
|
|
Face Detection (Q)
|
97% |
32408
386.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
474
3.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
27993
215.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
35148
323.6 IPS |
|
|
Style Transfer (SP)
|
100% |
686
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
690
0.89 IPS |
|
|
Style Transfer (Q)
|
98% |
1563
2.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
245
9.05 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8091
298.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14004
518.9 IPS |
|
|
Text Classification (SP)
|
100% |
220
293.5 IPS |
|
|
Text Classification (HP)
|
100% |
218
290.3 IPS |
|
|
Text Classification (Q)
|
92% |
1361
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (Q)
|
57% |
344
8.42 IPS |
