Google Pixel 8a
Geekbench ML Score
1030
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 08 2024 10:02 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
499
93.4 IPS |
|
|
Image Classification (F16)
|
100% |
499
93.4 IPS |
|
|
Image Classification (I8)
|
97% |
914
171.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
594
9.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
591
9.87 IPS |
|
|
Image Segmentation (I8)
|
98% |
709
11.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
1053
1.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
1029
1.25 IPS |
|
|
Pose Estimation (I8)
|
100% |
4577
5.54 IPS |
|
|
Object Detection (F32)
|
100% |
561
41.9 IPS |
|
|
Object Detection (F16)
|
100% |
522
39.0 IPS |
|
|
Object Detection (I8)
|
61% |
1023
76.4 IPS |
|
|
Face Detection (F32)
|
100% |
1044
12.4 IPS |
|
|
Face Detection (F16)
|
100% |
1034
12.3 IPS |
|
|
Face Detection (I8)
|
86% |
1929
22.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1109
8.60 IPS |
|
|
Depth Estimation (F16)
|
100% |
1109
8.60 IPS |
|
|
Depth Estimation (I8)
|
95% |
2071
16.1 IPS |
|
|
Style Transfer (F32)
|
100% |
1898
2.50 IPS |
|
|
Style Transfer (F16)
|
100% |
1842
2.42 IPS |
|
|
Style Transfer (I8)
|
98% |
4187
5.51 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
858
30.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
798
28.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2639
94.2 IPS |
|
|
Text Classification (F32)
|
100% |
649
932.7 IPS |
|
|
Text Classification (F16)
|
100% |
638
916.9 IPS |
|
|
Text Classification (I8)
|
92% |
616
885.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1252
23.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1155
21.3 IPS |
|
|
Machine Translation (I8)
|
64% |
569
10.5 IPS |
