Google Pixel 8a
Geekbench AI Score
1457
Single Precision Score
1448
Half Precision Score
2177
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | March 21 2025 04:19 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1461
271.8 IPS |
|
|
Image Classification (HP)
|
100% |
1292
240.3 IPS |
|
|
Image Classification (Q)
|
100% |
2129
395.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1485
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2116
34.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2381
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2064
2.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
4473
5.31 IPS |
|
|
Object Detection (SP)
|
98% |
982
78.2 IPS |
|
|
Object Detection (HP)
|
98% |
994
79.1 IPS |
|
|
Object Detection (Q)
|
83% |
1452
117.3 IPS |
|
|
Face Detection (SP)
|
100% |
2179
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
2172
25.8 IPS |
|
|
Face Detection (Q)
|
95% |
3324
39.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1904
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2089
16.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3321
30.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4972
6.45 IPS |
|
|
Style Transfer (HP)
|
89% |
5022
6.52 IPS |
|
|
Style Transfer (Q)
|
98% |
9548
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1005
37.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1045
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2354
87.2 IPS |
|
|
Text Classification (SP)
|
100% |
444
592.7 IPS |
|
|
Text Classification (HP)
|
99% |
446
595.3 IPS |
|
|
Text Classification (Q)
|
88% |
730
984.0 IPS |
|
|
Machine Translation (SP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (Q)
|
50% |
452
16.0 IPS |
