Smart_Products_Connection_SA Discovery
Geekbench ML Score
216
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 25 2024 12:26 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Smart_Products_Connection_SA Discovery |
| Model ID | Smart_Products_Connection_SA Discovery |
| Motherboard | 1_1 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 3 Cores @ 1.82 GHz |
| Cluster 2 | 1 Core @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.75 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
102
19.2 IPS |
|
|
Image Classification (F16)
|
100% |
102
19.2 IPS |
|
|
Image Classification (I8)
|
97% |
208
39.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
142
2.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
140
2.34 IPS |
|
|
Image Segmentation (I8)
|
98% |
230
3.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
163
0.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
147
0.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
799
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
109
8.11 IPS |
|
|
Object Detection (F16)
|
100% |
108
8.05 IPS |
|
|
Object Detection (I8)
|
61% |
251
18.8 IPS |
|
|
Face Detection (F32)
|
100% |
238
2.83 IPS |
|
|
Face Detection (F16)
|
100% |
237
2.82 IPS |
|
|
Face Detection (I8)
|
86% |
564
6.71 IPS |
|
|
Depth Estimation (F32)
|
100% |
223
1.73 IPS |
|
|
Depth Estimation (F16)
|
100% |
223
1.73 IPS |
|
|
Depth Estimation (I8)
|
95% |
573
4.44 IPS |
|
|
Style Transfer (F32)
|
100% |
345
0.45 IPS |
|
|
Style Transfer (F16)
|
100% |
329
0.43 IPS |
|
|
Style Transfer (I8)
|
98% |
1038
1.37 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
130
4.64 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
131
4.67 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
423
15.1 IPS |
|
|
Text Classification (F32)
|
100% |
145
209.1 IPS |
|
|
Text Classification (F16)
|
100% |
140
201.1 IPS |
|
|
Text Classification (I8)
|
92% |
148
212.1 IPS |
|
|
Machine Translation (F32)
|
100% |
234
4.31 IPS |
|
|
Machine Translation (F16)
|
100% |
234
4.31 IPS |
|
|
Machine Translation (I8)
|
64% |
166
3.06 IPS |
