Google Pixel 6a
Geekbench ML Score
1356
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 08 2024 03:22 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 6a |
| Model ID | Google Pixel 6a |
| Motherboard | bluejay |
| 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 @ 2.25 GHz |
| Cluster 3 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 5.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
195
36.4 IPS |
|
|
Image Classification (F16)
|
100% |
3597
673.1 IPS |
|
|
Image Classification (I8)
|
99% |
6084
1.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
238
3.97 IPS |
|
|
Image Segmentation (F16)
|
100% |
2928
48.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1771
29.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
303
0.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
15477
18.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
36664
44.4 IPS |
|
|
Object Detection (F32)
|
100% |
193
14.4 IPS |
|
|
Object Detection (F16)
|
100% |
184
13.7 IPS |
|
|
Object Detection (I8)
|
61% |
556
41.5 IPS |
|
|
Face Detection (F32)
|
100% |
461
5.49 IPS |
|
|
Face Detection (F16)
|
97% |
8336
99.1 IPS |
|
|
Face Detection (I8)
|
87% |
15311
182.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
390
3.02 IPS |
|
|
Depth Estimation (F16)
|
100% |
16440
127.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
27418
212.6 IPS |
|
|
Style Transfer (F32)
|
100% |
625
0.82 IPS |
|
|
Style Transfer (F16)
|
100% |
1566
2.06 IPS |
|
|
Style Transfer (I8)
|
98% |
3057
4.02 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
199
7.10 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
203
7.24 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
11900
425.0 IPS |
|
|
Text Classification (F32)
|
100% |
267
383.8 IPS |
|
|
Text Classification (F16)
|
100% |
1161
1.67 KIPS |
|
|
Text Classification (I8)
|
94% |
1403
2.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
440
8.09 IPS |
|
|
Machine Translation (F16)
|
100% |
431
7.93 IPS |
|
|
Machine Translation (I8)
|
64% |
424
7.81 IPS |
