Google Pixel 8a
Geekbench AI Score
314
Single Precision Score
3815
Half Precision Score
7065
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 11 2025 02:38 AM |
| Views | 3 |
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% |
230
42.8 IPS |
|
|
Image Classification (HP)
|
100% |
5504
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
6964
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
6071
98.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13468
219.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
333
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
30824
36.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
62262
72.9 IPS |
|
|
Object Detection (SP)
|
100% |
201
15.9 IPS |
|
|
Object Detection (HP)
|
100% |
4768
378.2 IPS |
|
|
Object Detection (Q)
|
87% |
5096
408.8 IPS |
|
|
Face Detection (SP)
|
100% |
429
5.10 IPS |
|
|
Face Detection (HP)
|
100% |
11538
137.1 IPS |
|
|
Face Detection (Q)
|
97% |
21549
256.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
356
2.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
27634
212.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
34299
315.7 IPS |
|
|
Style Transfer (SP)
|
100% |
558
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
557
0.72 IPS |
|
|
Style Transfer (Q)
|
73% |
2951
4.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
205
7.58 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8450
312.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13704
507.8 IPS |
|
|
Text Classification (SP)
|
100% |
266
355.5 IPS |
|
|
Text Classification (HP)
|
100% |
222
295.8 IPS |
|
|
Text Classification (Q)
|
92% |
1357
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
450
7.76 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.89 IPS |
|
|
Machine Translation (Q)
|
57% |
257
6.28 IPS |
