Google Pixel 7a
Geekbench ML Score
2647
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | November 12 2024 09:52 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% |
467
50.0 IPS |
|
|
Image Classification (F16)
|
100% |
7542
808.1 IPS |
|
|
Image Classification (I8)
|
79% |
11736
1.26 KIPS |
|
|
Image Segmentation (F32)
|
100% |
619
3.83 IPS |
|
|
Image Segmentation (F16)
|
96% |
11018
68.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
35068
216.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
458
1.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
5664
22.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
13168
53.3 IPS |
|
|
Object Detection (F32)
|
100% |
593
20.8 IPS |
|
|
Object Detection (F16)
|
100% |
4579
160.7 IPS |
|
|
Object Detection (I8)
|
50% |
6465
226.9 IPS |
|
|
Face Detection (F32)
|
100% |
773
8.88 IPS |
|
|
Face Detection (F16)
|
98% |
12698
145.9 IPS |
|
|
Face Detection (I8)
|
75% |
27844
319.9 IPS |
|
|
Text Classification (F32)
|
100% |
111
43.9 IPS |
|
|
Text Classification (F16)
|
100% |
1269
501.8 IPS |
|
|
Machine Translation (F32)
|
100% |
689
106.2 IPS |
|
|
Machine Translation (F16)
|
100% |
690
106.4 IPS |
