Google Pixel 8a
Geekbench AI Score
1281
Single Precision Score
1287
Half Precision Score
1803
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 06:14 PM |
| Views | 11 |
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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1381
256.7 IPS |
|
|
Image Classification (HP)
|
100% |
1423
264.7 IPS |
|
|
Image Classification (Q)
|
100% |
2329
433.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1643
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1645
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1324
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2562
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2126
2.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
4454
5.28 IPS |
|
|
Object Detection (SP)
|
98% |
762
60.7 IPS |
|
|
Object Detection (HP)
|
98% |
754
60.0 IPS |
|
|
Object Detection (Q)
|
83% |
978
79.0 IPS |
|
|
Face Detection (SP)
|
100% |
1601
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
1569
18.6 IPS |
|
|
Face Detection (Q)
|
95% |
2209
26.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1856
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2028
15.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3313
30.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5067
6.58 IPS |
|
|
Style Transfer (HP)
|
89% |
4982
6.47 IPS |
|
|
Style Transfer (Q)
|
98% |
9534
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
886
32.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
745
27.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1664
61.7 IPS |
|
|
Text Classification (SP)
|
100% |
305
407.3 IPS |
|
|
Text Classification (HP)
|
99% |
308
411.4 IPS |
|
|
Text Classification (Q)
|
88% |
519
699.6 IPS |
|
|
Machine Translation (SP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
918
15.8 IPS |
|
|
Machine Translation (Q)
|
50% |
450
16.0 IPS |
