samsung SM-T505N
Geekbench ML Score
158
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 29 2023 02:12 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | samsung SM-T505N |
| Model ID | samsung SM-T505N |
| Motherboard | bengal |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 2.64 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
107
11.5 IPS |
|
|
Image Classification (F16)
|
100% |
111
11.9 IPS |
|
|
Image Classification (I8)
|
81% |
272
29.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
195
1.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
1.23 IPS |
|
|
Image Segmentation (I8)
|
89% |
480
2.96 IPS |
|
|
Pose Estimation (F32)
|
100% |
93
0.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
92
0.37 IPS |
|
|
Pose Estimation (I8)
|
80% |
149
0.60 IPS |
|
|
Object Detection (F32)
|
100% |
143
5.02 IPS |
|
|
Object Detection (F16)
|
100% |
147
5.14 IPS |
|
|
Object Detection (I8)
|
52% |
235
8.23 IPS |
|
|
Face Detection (F32)
|
100% |
185
2.13 IPS |
|
|
Face Detection (F16)
|
100% |
189
2.17 IPS |
|
|
Face Detection (I8)
|
75% |
392
4.50 IPS |
|
|
Text Classification (F32)
|
100% |
116
45.7 IPS |
|
|
Text Classification (F16)
|
100% |
116
46.1 IPS |
|
|
Machine Translation (F32)
|
100% |
97
14.9 IPS |
|
|
Machine Translation (F16)
|
100% |
97
15.0 IPS |
