Google Pixel 8a
Geekbench AI Score
1283
Single Precision Score
1275
Half Precision Score
2116
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 09 2025 12:49 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% |
522
97.0 IPS |
|
|
Image Classification (HP)
|
100% |
492
91.6 IPS |
|
|
Image Classification (Q)
|
100% |
1007
187.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1178
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1709
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2207
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2059
2.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
5663
6.72 IPS |
|
|
Object Detection (SP)
|
98% |
867
69.0 IPS |
|
|
Object Detection (HP)
|
98% |
888
70.7 IPS |
|
|
Object Detection (Q)
|
83% |
1517
122.5 IPS |
|
|
Face Detection (SP)
|
100% |
2094
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
2090
24.8 IPS |
|
|
Face Detection (Q)
|
95% |
4693
56.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2357
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2419
18.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3804
34.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5238
6.80 IPS |
|
|
Style Transfer (HP)
|
89% |
5135
6.67 IPS |
|
|
Style Transfer (Q)
|
98% |
9728
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1016
37.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1007
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2376
88.1 IPS |
|
|
Text Classification (SP)
|
100% |
401
534.9 IPS |
|
|
Text Classification (HP)
|
99% |
435
580.2 IPS |
|
|
Text Classification (Q)
|
88% |
635
855.9 IPS |
|
|
Machine Translation (SP)
|
100% |
977
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
465
16.5 IPS |
