Google Pixel 8a
Geekbench AI Score
1462
Single Precision Score
1459
Half Precision Score
2232
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2025 09:03 AM |
| Views | 2 |
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% |
1288
239.5 IPS |
|
|
Image Classification (HP)
|
100% |
1378
256.3 IPS |
|
|
Image Classification (Q)
|
100% |
2323
431.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1459
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2634
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2584
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2135
2.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
4506
5.34 IPS |
|
|
Object Detection (SP)
|
98% |
909
72.3 IPS |
|
|
Object Detection (HP)
|
98% |
985
78.4 IPS |
|
|
Object Detection (Q)
|
83% |
1458
117.8 IPS |
|
|
Face Detection (SP)
|
100% |
2177
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
2181
25.9 IPS |
|
|
Face Detection (Q)
|
95% |
3323
39.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2017
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2099
16.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3355
30.7 IPS |
|
|
Style Transfer (SP)
|
89% |
4979
6.46 IPS |
|
|
Style Transfer (HP)
|
89% |
5015
6.51 IPS |
|
|
Style Transfer (Q)
|
98% |
9669
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1020
37.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1045
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2383
88.3 IPS |
|
|
Text Classification (SP)
|
100% |
447
597.0 IPS |
|
|
Text Classification (HP)
|
99% |
455
607.7 IPS |
|
|
Text Classification (Q)
|
88% |
643
867.7 IPS |
|
|
Machine Translation (SP)
|
100% |
969
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
952
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
463
16.4 IPS |
