| User | M91 |
| Upload Date | November 20 2024 12:33 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
236
44.0 IPS |
|
|
Image Classification (HP)
|
100% |
388
72.2 IPS |
|
|
Image Classification (Q)
|
99% |
389
72.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
952
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
914
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
485
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
691
0.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
686
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
274
21.7 IPS |
|
|
Object Detection (HP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (Q)
|
83% |
390
31.5 IPS |
|
|
Face Detection (SP)
|
100% |
1211
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
1302
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
1262
15.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
943
7.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
1107
8.53 IPS |
|
|
Depth Estimation (Q)
|
62% |
884
8.37 IPS |
|
|
Style Transfer (SP)
|
100% |
2534
3.26 IPS |
|
|
Style Transfer (HP)
|
100% |
3239
4.16 IPS |
|
|
Style Transfer (Q)
|
98% |
3264
4.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
541
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
515
19.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
516
19.1 IPS |
|
|
Text Classification (SP)
|
100% |
168
223.7 IPS |
|
|
Text Classification (HP)
|
100% |
167
222.4 IPS |
|
|
Text Classification (Q)
|
91% |
600
806.6 IPS |
|
|
Machine Translation (SP)
|
100% |
548
9.45 IPS |
|
|
Machine Translation (HP)
|
100% |
529
9.12 IPS |
|
|
Machine Translation (Q)
|
57% |
336
8.22 IPS |