Google Pixel 6a
Geekbench ML Score
604
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 03 2024 02:47 AM |
| Views | 3 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
284
53.2 IPS |
|
|
Image Classification (F16)
|
100% |
412
77.0 IPS |
|
|
Image Classification (I8)
|
97% |
389
72.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
611
10.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
987
16.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
954
15.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
328
0.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
425
0.51 IPS |
|
|
Pose Estimation (I8)
|
100% |
423
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
263
19.7 IPS |
|
|
Object Detection (F16)
|
100% |
324
24.2 IPS |
|
|
Object Detection (I8)
|
62% |
347
25.9 IPS |
|
|
Face Detection (F32)
|
100% |
1371
16.3 IPS |
|
|
Face Detection (F16)
|
98% |
1638
19.5 IPS |
|
|
Face Detection (I8)
|
86% |
1880
22.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
572
4.44 IPS |
|
|
Depth Estimation (F16)
|
100% |
737
5.72 IPS |
|
|
Depth Estimation (I8)
|
95% |
694
5.38 IPS |
|
|
Style Transfer (F32)
|
100% |
1384
1.82 IPS |
|
|
Style Transfer (F16)
|
100% |
2538
3.34 IPS |
|
|
Style Transfer (I8)
|
98% |
2535
3.33 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
469
16.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
671
23.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
667
23.8 IPS |
|
|
Text Classification (F32)
|
100% |
261
375.8 IPS |
|
|
Text Classification (F16)
|
100% |
271
390.1 IPS |
|
|
Text Classification (I8)
|
92% |
494
709.5 IPS |
|
|
Machine Translation (F32)
|
100% |
418
7.70 IPS |
|
|
Machine Translation (F16)
|
100% |
417
7.67 IPS |
|
|
Machine Translation (I8)
|
64% |
437
8.05 IPS |
