Google Pixel 7a
Geekbench ML Score
377
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | November 12 2024 10:05 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google Pixel 7a |
| Model ID | Google Pixel 7a |
| Motherboard | lynx |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.35 GHz |
| Cluster 3 | 2 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
103
11.0 IPS |
|
|
Image Classification (F16)
|
100% |
90
9.62 IPS |
|
|
Image Classification (I8)
|
81% |
281
30.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
502
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
502
3.10 IPS |
|
|
Image Segmentation (I8)
|
89% |
671
4.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
311
1.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
300
1.21 IPS |
|
|
Pose Estimation (I8)
|
80% |
203
0.82 IPS |
|
|
Object Detection (F32)
|
100% |
180
6.31 IPS |
|
|
Object Detection (F16)
|
100% |
184
6.45 IPS |
|
|
Object Detection (I8)
|
52% |
434
15.2 IPS |
|
|
Face Detection (F32)
|
100% |
611
7.02 IPS |
|
|
Face Detection (F16)
|
100% |
587
6.75 IPS |
|
|
Face Detection (I8)
|
75% |
515
5.92 IPS |
|
|
Text Classification (F32)
|
100% |
921
364.2 IPS |
|
|
Text Classification (F16)
|
100% |
954
377.4 IPS |
|
|
Machine Translation (F32)
|
100% |
685
105.6 IPS |
|
|
Machine Translation (F16)
|
100% |
682
105.1 IPS |
