Google Pixel 8a
Geekbench ML Score
2669
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 08 2024 10:31 PM |
| Views | 1 |
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 | 7.40 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
258
48.3 IPS |
|
|
Image Classification (F16)
|
100% |
4898
916.6 IPS |
|
|
Image Classification (I8)
|
99% |
5575
1.04 KIPS |
|
|
Image Segmentation (F32)
|
100% |
315
5.26 IPS |
|
|
Image Segmentation (F16)
|
100% |
9763
163.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
23857
398.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
376
0.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
30398
36.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
63567
77.0 IPS |
|
|
Object Detection (F32)
|
100% |
208
15.5 IPS |
|
|
Object Detection (F16)
|
100% |
2908
217.1 IPS |
|
|
Object Detection (I8)
|
65% |
3640
271.8 IPS |
|
|
Face Detection (F32)
|
100% |
582
6.92 IPS |
|
|
Face Detection (F16)
|
98% |
19150
227.7 IPS |
|
|
Face Detection (I8)
|
87% |
37716
448.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
515
3.99 IPS |
|
|
Depth Estimation (F16)
|
100% |
32071
248.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
55311
428.9 IPS |
|
|
Style Transfer (F32)
|
100% |
794
1.04 IPS |
|
|
Style Transfer (F16)
|
100% |
1832
2.41 IPS |
|
|
Style Transfer (I8)
|
28% |
3301
4.34 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
302
10.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10664
380.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
19352
691.1 IPS |
|
|
Text Classification (F32)
|
100% |
374
537.7 IPS |
|
|
Text Classification (F16)
|
100% |
978
1.41 KIPS |
|
|
Text Classification (I8)
|
94% |
1044
1.50 KIPS |
|
|
Machine Translation (F32)
|
100% |
573
10.5 IPS |
|
|
Machine Translation (F16)
|
100% |
565
10.4 IPS |
|
|
Machine Translation (I8)
|
64% |
530
9.75 IPS |
