Google Pixel 8a
Geekbench AI Score
1475
Single Precision Score
1437
Half Precision Score
2174
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | September 07 2025 12:24 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
1315
244.6 IPS |
|
|
Image Classification (Q)
|
100% |
2358
438.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2336
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2428
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2028
2.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
4527
5.37 IPS |
|
|
Object Detection (SP)
|
98% |
1005
80.0 IPS |
|
|
Object Detection (HP)
|
98% |
984
78.3 IPS |
|
|
Object Detection (Q)
|
83% |
1391
112.3 IPS |
|
|
Face Detection (SP)
|
100% |
2229
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
2213
26.3 IPS |
|
|
Face Detection (Q)
|
95% |
3401
40.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2030
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2124
16.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3300
30.2 IPS |
|
|
Style Transfer (SP)
|
89% |
5067
6.58 IPS |
|
|
Style Transfer (HP)
|
89% |
4989
6.48 IPS |
|
|
Style Transfer (Q)
|
98% |
9422
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1040
38.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1032
38.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2243
83.1 IPS |
|
|
Text Classification (SP)
|
100% |
444
592.8 IPS |
|
|
Text Classification (HP)
|
99% |
445
594.5 IPS |
|
|
Text Classification (Q)
|
88% |
631
851.4 IPS |
|
|
Machine Translation (SP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (Q)
|
50% |
455
16.1 IPS |
