Google Pixel 8a
Geekbench AI Score
1237
Single Precision Score
1257
Half Precision Score
1864
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 01:20 PM |
| 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% |
1363
253.4 IPS |
|
|
Image Classification (HP)
|
100% |
1446
268.9 IPS |
|
|
Image Classification (Q)
|
100% |
2405
447.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2592
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2604
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2090
2.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
3906
4.63 IPS |
|
|
Object Detection (SP)
|
98% |
693
55.1 IPS |
|
|
Object Detection (HP)
|
98% |
702
55.8 IPS |
|
|
Object Detection (Q)
|
83% |
964
77.8 IPS |
|
|
Face Detection (SP)
|
100% |
1596
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
1585
18.8 IPS |
|
|
Face Detection (Q)
|
95% |
2518
30.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1571
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1586
12.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2358
21.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3655
4.74 IPS |
|
|
Style Transfer (HP)
|
89% |
3690
4.79 IPS |
|
|
Style Transfer (Q)
|
98% |
6952
8.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
732
27.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
734
27.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1714
63.5 IPS |
|
|
Text Classification (SP)
|
100% |
309
412.6 IPS |
|
|
Text Classification (HP)
|
99% |
449
599.9 IPS |
|
|
Text Classification (Q)
|
88% |
653
880.9 IPS |
|
|
Machine Translation (SP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
957
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
467
16.6 IPS |
