Google Pixel 8a
Geekbench AI Score
1150
Single Precision Score
1179
Half Precision Score
1741
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | s11mac |
| Upload Date | March 05 2025 02:42 PM |
| Views | 11 |
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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1053
195.8 IPS |
|
|
Image Classification (HP)
|
100% |
1449
269.4 IPS |
|
|
Image Classification (Q)
|
100% |
2219
412.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1465
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2586
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2546
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2196
2.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
3744
4.44 IPS |
|
|
Object Detection (SP)
|
98% |
705
56.1 IPS |
|
|
Object Detection (HP)
|
98% |
701
55.8 IPS |
|
|
Object Detection (Q)
|
83% |
995
80.3 IPS |
|
|
Face Detection (SP)
|
100% |
1555
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1563
18.6 IPS |
|
|
Face Detection (Q)
|
95% |
2404
28.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1588
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1495
11.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2393
21.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3880
5.04 IPS |
|
|
Style Transfer (HP)
|
89% |
4137
5.37 IPS |
|
|
Style Transfer (Q)
|
98% |
7101
9.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
752
27.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
747
27.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1758
65.1 IPS |
|
|
Text Classification (SP)
|
100% |
312
416.6 IPS |
|
|
Text Classification (HP)
|
99% |
310
414.3 IPS |
|
|
Text Classification (Q)
|
88% |
516
696.0 IPS |
|
|
Machine Translation (SP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
641
11.0 IPS |
|
|
Machine Translation (Q)
|
50% |
324
11.5 IPS |
