Google Pixel 8a
Geekbench AI Score
317
Single Precision Score
4001
Half Precision Score
7536
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | October 09 2025 09:07 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
223
41.5 IPS |
|
|
Image Classification (HP)
|
100% |
5597
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
7567
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
271
4.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
6616
107.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15707
255.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
323
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
30807
35.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
62419
73.1 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
4233
335.8 IPS |
|
|
Object Detection (Q)
|
87% |
5625
451.2 IPS |
|
|
Face Detection (SP)
|
100% |
449
5.33 IPS |
|
|
Face Detection (HP)
|
100% |
13027
154.8 IPS |
|
|
Face Detection (Q)
|
97% |
25766
307.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
402
3.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
28853
222.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
39334
362.1 IPS |
|
|
Style Transfer (SP)
|
100% |
583
0.75 IPS |
|
|
Style Transfer (HP)
|
100% |
594
0.76 IPS |
|
|
Style Transfer (Q)
|
73% |
2538
3.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
208
7.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8239
304.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14346
531.6 IPS |
|
|
Text Classification (SP)
|
100% |
292
390.3 IPS |
|
|
Text Classification (HP)
|
100% |
294
392.9 IPS |
|
|
Text Classification (Q)
|
92% |
1482
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
417
7.19 IPS |
|
|
Machine Translation (HP)
|
100% |
403
6.94 IPS |
|
|
Machine Translation (Q)
|
57% |
259
6.32 IPS |
