Google Pixel 8a
Geekbench ML Score
979
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | August 07 2024 11:15 AM |
| Views | 4 |
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 | 7.42 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
328
61.3 IPS |
|
|
Image Classification (F16)
|
100% |
479
89.6 IPS |
|
|
Image Classification (I8)
|
97% |
932
174.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
477
7.97 IPS |
|
|
Image Segmentation (F16)
|
100% |
480
8.02 IPS |
|
|
Image Segmentation (I8)
|
98% |
822
13.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
1176
1.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
1113
1.35 IPS |
|
|
Pose Estimation (I8)
|
100% |
5078
6.15 IPS |
|
|
Object Detection (F32)
|
100% |
354
26.4 IPS |
|
|
Object Detection (F16)
|
100% |
395
29.5 IPS |
|
|
Object Detection (I8)
|
61% |
1069
79.8 IPS |
|
|
Face Detection (F32)
|
100% |
842
10.0 IPS |
|
|
Face Detection (F16)
|
100% |
822
9.77 IPS |
|
|
Face Detection (I8)
|
86% |
2086
24.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
1003
7.78 IPS |
|
|
Depth Estimation (F16)
|
100% |
1082
8.39 IPS |
|
|
Depth Estimation (I8)
|
95% |
2106
16.3 IPS |
|
|
Style Transfer (F32)
|
100% |
1949
2.56 IPS |
|
|
Style Transfer (F16)
|
100% |
1899
2.50 IPS |
|
|
Style Transfer (I8)
|
98% |
4143
5.45 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
811
29.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
760
27.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2600
92.9 IPS |
|
|
Text Classification (F32)
|
100% |
657
943.7 IPS |
|
|
Text Classification (F16)
|
100% |
668
959.6 IPS |
|
|
Text Classification (I8)
|
92% |
653
938.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1205
22.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1203
22.1 IPS |
|
|
Machine Translation (I8)
|
64% |
576
10.6 IPS |
