Google Pixel 8a
Geekbench AI Score
337
Single Precision Score
4084
Half Precision Score
7135
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | February 15 2026 10:44 AM |
| Views | 9 |
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% |
239
44.4 IPS |
|
|
Image Classification (HP)
|
100% |
5751
1.07 KIPS |
|
|
Image Classification (Q)
|
99% |
7573
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
7192
116.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14693
238.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
365
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
30735
35.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
62085
72.7 IPS |
|
|
Object Detection (SP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
4406
349.5 IPS |
|
|
Object Detection (Q)
|
87% |
5575
447.2 IPS |
|
|
Face Detection (SP)
|
100% |
477
5.66 IPS |
|
|
Face Detection (HP)
|
100% |
13085
155.5 IPS |
|
|
Face Detection (Q)
|
97% |
30265
360.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
483
3.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
28424
219.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
34519
317.7 IPS |
|
|
Style Transfer (SP)
|
100% |
633
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
604
0.78 IPS |
|
|
Style Transfer (Q)
|
98% |
1562
2.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
223
8.24 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7632
281.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13710
508.0 IPS |
|
|
Text Classification (SP)
|
100% |
273
364.2 IPS |
|
|
Text Classification (HP)
|
100% |
293
390.5 IPS |
|
|
Text Classification (Q)
|
92% |
1454
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
417
7.19 IPS |
|
|
Machine Translation (HP)
|
100% |
459
7.90 IPS |
|
|
Machine Translation (Q)
|
57% |
273
6.66 IPS |
