Google Pixel 7a
Geekbench ML Score
2630
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | November 12 2024 10:13 AM |
| Views | 1 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
500
53.5 IPS |
|
|
Image Classification (F16)
|
100% |
7831
839.1 IPS |
|
|
Image Classification (I8)
|
79% |
11170
1.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
634
3.91 IPS |
|
|
Image Segmentation (F16)
|
96% |
11165
69.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
35400
218.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
447
1.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
5594
22.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
13017
52.7 IPS |
|
|
Object Detection (F32)
|
100% |
590
20.7 IPS |
|
|
Object Detection (F16)
|
100% |
4839
169.8 IPS |
|
|
Object Detection (I8)
|
50% |
6458
226.7 IPS |
|
|
Face Detection (F32)
|
100% |
818
9.40 IPS |
|
|
Face Detection (F16)
|
98% |
12055
138.5 IPS |
|
|
Face Detection (I8)
|
75% |
26549
305.0 IPS |
|
|
Text Classification (F32)
|
100% |
93
36.8 IPS |
|
|
Text Classification (F16)
|
100% |
1279
505.8 IPS |
|
|
Machine Translation (F32)
|
100% |
683
105.3 IPS |
|
|
Machine Translation (F16)
|
100% |
686
105.8 IPS |
