Google Pixel 8a
Geekbench AI Score
349
Single Precision Score
4138
Half Precision Score
7223
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2026 09:15 AM |
| Views | 7 |
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 | 7.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (HP)
|
100% |
5361
997.0 IPS |
|
|
Image Classification (Q)
|
99% |
7445
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
286
4.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
6570
106.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15736
255.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
375
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
30727
35.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
61765
72.3 IPS |
|
|
Object Detection (SP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
4414
350.2 IPS |
|
|
Object Detection (Q)
|
87% |
5010
401.9 IPS |
|
|
Face Detection (SP)
|
100% |
535
6.35 IPS |
|
|
Face Detection (HP)
|
100% |
11600
137.8 IPS |
|
|
Face Detection (Q)
|
97% |
25100
299.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
482
3.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
27997
215.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
33333
306.8 IPS |
|
|
Style Transfer (SP)
|
100% |
725
0.93 IPS |
|
|
Style Transfer (HP)
|
100% |
730
0.94 IPS |
|
|
Style Transfer (Q)
|
98% |
1755
2.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
272
10.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7977
294.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13788
510.9 IPS |
|
|
Text Classification (SP)
|
100% |
193
257.5 IPS |
|
|
Text Classification (HP)
|
100% |
317
422.9 IPS |
|
|
Text Classification (Q)
|
92% |
1551
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
509
8.77 IPS |
|
|
Machine Translation (HP)
|
100% |
514
8.85 IPS |
|
|
Machine Translation (Q)
|
57% |
340
8.32 IPS |
