Google Pixel 7a
Geekbench ML Score
1679
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 18 2024 09:38 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
144
27.0 IPS |
|
|
Image Classification (F16)
|
100% |
4084
764.3 IPS |
|
|
Image Classification (I8)
|
99% |
6437
1.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
162
2.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
4418
73.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
7599
126.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
302
0.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
15965
19.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
29266
35.4 IPS |
|
|
Object Detection (F32)
|
100% |
185
13.8 IPS |
|
|
Object Detection (F16)
|
100% |
2633
196.6 IPS |
|
|
Object Detection (I8)
|
65% |
3385
252.7 IPS |
|
|
Face Detection (F32)
|
100% |
440
5.24 IPS |
|
|
Face Detection (F16)
|
100% |
440
5.23 IPS |
|
|
Face Detection (I8)
|
87% |
25120
298.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
383
2.97 IPS |
|
|
Depth Estimation (F16)
|
100% |
18307
142.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
31969
247.9 IPS |
|
|
Style Transfer (F32)
|
100% |
586
0.77 IPS |
|
|
Style Transfer (F16)
|
100% |
1382
1.82 IPS |
|
|
Style Transfer (I8)
|
28% |
2606
3.43 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
203
7.23 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5394
192.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
11796
421.3 IPS |
|
|
Text Classification (F32)
|
100% |
252
362.7 IPS |
|
|
Text Classification (F16)
|
100% |
1468
2.11 KIPS |
|
|
Text Classification (I8)
|
94% |
1853
2.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
416
7.65 IPS |
|
|
Machine Translation (F16)
|
100% |
376
6.92 IPS |
|
|
Machine Translation (I8)
|
64% |
371
6.83 IPS |
