Google Pixel 7a
Geekbench ML Score
356
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 08 2023 06:37 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.29 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
133
14.2 IPS |
|
|
Image Classification (F16)
|
100% |
104
11.1 IPS |
|
|
Image Classification (I8)
|
81% |
265
28.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
484
2.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
498
3.08 IPS |
|
|
Image Segmentation (I8)
|
89% |
695
4.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
273
1.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
259
1.05 IPS |
|
|
Pose Estimation (I8)
|
80% |
235
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
124
4.34 IPS |
|
|
Object Detection (F16)
|
100% |
148
5.19 IPS |
|
|
Object Detection (I8)
|
52% |
330
11.6 IPS |
|
|
Face Detection (F32)
|
100% |
580
6.67 IPS |
|
|
Face Detection (F16)
|
100% |
547
6.29 IPS |
|
|
Face Detection (I8)
|
75% |
482
5.54 IPS |
|
|
Text Classification (F32)
|
100% |
871
344.6 IPS |
|
|
Text Classification (F16)
|
100% |
856
338.6 IPS |
|
|
Machine Translation (F32)
|
100% |
660
101.7 IPS |
|
|
Machine Translation (F16)
|
100% |
663
102.2 IPS |
