Google Pixel 8a
Geekbench AI Score
368
Single Precision Score
4113
Half Precision Score
6680
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 31 2025 10:56 PM |
| Views | 2 |
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% |
240
44.6 IPS |
|
|
Image Classification (HP)
|
100% |
4024
748.4 IPS |
|
|
Image Classification (Q)
|
99% |
5264
981.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
257
4.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
7348
119.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14518
236.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
390
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
30214
35.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
61785
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (HP)
|
100% |
3936
312.2 IPS |
|
|
Object Detection (Q)
|
87% |
4558
365.7 IPS |
|
|
Face Detection (SP)
|
100% |
548
6.51 IPS |
|
|
Face Detection (HP)
|
100% |
15530
184.5 IPS |
|
|
Face Detection (Q)
|
97% |
27389
326.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
487
3.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
25686
197.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
29663
273.1 IPS |
|
|
Style Transfer (SP)
|
100% |
725
0.93 IPS |
|
|
Style Transfer (HP)
|
100% |
735
0.94 IPS |
|
|
Style Transfer (Q)
|
73% |
2987
4.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
268
9.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7761
286.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12657
469.0 IPS |
|
|
Text Classification (SP)
|
100% |
341
455.3 IPS |
|
|
Text Classification (HP)
|
100% |
343
458.5 IPS |
|
|
Text Classification (Q)
|
92% |
772
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
540
9.29 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.71 IPS |
|
|
Machine Translation (Q)
|
57% |
347
8.47 IPS |
