Google Pixel 8a
Geekbench ML Score
580
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 27 2024 12:07 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 8a |
| Model ID | Google Pixel 8a |
| Motherboard | akita |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.37 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.42 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
277
51.8 IPS |
|
|
Image Classification (F16)
|
100% |
290
54.3 IPS |
|
|
Image Classification (I8)
|
97% |
425
79.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
390
6.51 IPS |
|
|
Image Segmentation (F16)
|
100% |
395
6.59 IPS |
|
|
Image Segmentation (I8)
|
98% |
446
7.45 IPS |
|
|
Pose Estimation (F32)
|
100% |
702
0.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
709
0.86 IPS |
|
|
Pose Estimation (I8)
|
100% |
2630
3.18 IPS |
|
|
Object Detection (F32)
|
100% |
316
23.6 IPS |
|
|
Object Detection (F16)
|
100% |
310
23.2 IPS |
|
|
Object Detection (I8)
|
61% |
459
34.3 IPS |
|
|
Face Detection (F32)
|
100% |
752
8.94 IPS |
|
|
Face Detection (F16)
|
100% |
746
8.87 IPS |
|
|
Face Detection (I8)
|
86% |
1008
12.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
697
5.41 IPS |
|
|
Depth Estimation (F16)
|
100% |
701
5.43 IPS |
|
|
Depth Estimation (I8)
|
95% |
1077
8.36 IPS |
|
|
Style Transfer (F32)
|
100% |
1254
1.65 IPS |
|
|
Style Transfer (F16)
|
100% |
1253
1.65 IPS |
|
|
Style Transfer (I8)
|
98% |
2057
2.71 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
423
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
427
15.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1273
45.5 IPS |
|
|
Text Classification (F32)
|
100% |
336
482.4 IPS |
|
|
Text Classification (F16)
|
100% |
323
463.8 IPS |
|
|
Text Classification (I8)
|
92% |
289
415.7 IPS |
|
|
Machine Translation (F32)
|
100% |
657
12.1 IPS |
|
|
Machine Translation (F16)
|
100% |
633
11.7 IPS |
|
|
Machine Translation (I8)
|
64% |
211
3.88 IPS |
