Google Pixel 8a
Geekbench AI Score
331
Single Precision Score
3912
Half Precision Score
7748
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 02:02 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% |
232
43.2 IPS |
|
|
Image Classification (HP)
|
100% |
5700
1.06 KIPS |
|
|
Image Classification (Q)
|
99% |
7903
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
296
4.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
6953
112.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15259
248.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
358
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30405
35.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
61881
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
186
14.8 IPS |
|
|
Object Detection (HP)
|
100% |
4670
370.4 IPS |
|
|
Object Detection (Q)
|
87% |
5312
426.1 IPS |
|
|
Face Detection (SP)
|
100% |
481
5.71 IPS |
|
|
Face Detection (HP)
|
100% |
12163
144.5 IPS |
|
|
Face Detection (Q)
|
97% |
26124
311.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
382
2.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
32806
252.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
48257
444.2 IPS |
|
|
Style Transfer (SP)
|
100% |
593
0.76 IPS |
|
|
Style Transfer (HP)
|
100% |
592
0.76 IPS |
|
|
Style Transfer (Q)
|
72% |
2553
3.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
220
8.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8193
302.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15237
564.6 IPS |
|
|
Text Classification (SP)
|
100% |
292
390.3 IPS |
|
|
Text Classification (HP)
|
100% |
193
257.9 IPS |
|
|
Text Classification (Q)
|
92% |
1404
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
499
8.59 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.89 IPS |
|
|
Machine Translation (Q)
|
57% |
286
7.00 IPS |
