Google Pixel 8a
Geekbench ML Score
661
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 08 2024 10:12 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.40 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
398
74.5 IPS |
|
|
Image Classification (F16)
|
100% |
461
86.3 IPS |
|
|
Image Classification (I8)
|
97% |
436
81.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
535
8.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
630
10.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
537
8.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
458
0.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
661
0.80 IPS |
|
|
Pose Estimation (I8)
|
100% |
664
0.80 IPS |
|
|
Object Detection (F32)
|
100% |
211
15.8 IPS |
|
|
Object Detection (F16)
|
100% |
293
21.9 IPS |
|
|
Object Detection (I8)
|
62% |
295
22.0 IPS |
|
|
Face Detection (F32)
|
100% |
1175
14.0 IPS |
|
|
Face Detection (F16)
|
98% |
1101
13.1 IPS |
|
|
Face Detection (I8)
|
86% |
882
10.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
871
6.76 IPS |
|
|
Depth Estimation (F16)
|
100% |
1038
8.05 IPS |
|
|
Depth Estimation (I8)
|
95% |
1069
8.29 IPS |
|
|
Style Transfer (F32)
|
100% |
2517
3.31 IPS |
|
|
Style Transfer (F16)
|
100% |
3030
3.99 IPS |
|
|
Style Transfer (I8)
|
98% |
2965
3.90 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
525
18.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
597
21.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
588
21.0 IPS |
|
|
Text Classification (F32)
|
100% |
388
557.0 IPS |
|
|
Text Classification (F16)
|
100% |
388
558.1 IPS |
|
|
Text Classification (I8)
|
92% |
590
847.9 IPS |
|
|
Machine Translation (F32)
|
100% |
592
10.9 IPS |
|
|
Machine Translation (F16)
|
100% |
569
10.5 IPS |
|
|
Machine Translation (I8)
|
64% |
559
10.3 IPS |
