samsung SM-T735N
Geekbench ML Score
255
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 06 2022 01:02 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-T735N |
| Model ID | samsung SM-T735N |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 3.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
135
14.5 IPS |
|
|
Image Classification (F16)
|
100% |
146
15.6 IPS |
|
|
Image Classification (I8)
|
81% |
179
19.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
414
2.56 IPS |
|
|
Image Segmentation (F16)
|
100% |
408
2.52 IPS |
|
|
Image Segmentation (I8)
|
89% |
614
3.80 IPS |
|
|
Pose Estimation (F32)
|
100% |
143
0.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
142
0.57 IPS |
|
|
Pose Estimation (I8)
|
80% |
152
0.62 IPS |
|
|
Object Detection (F32)
|
100% |
217
7.62 IPS |
|
|
Object Detection (F16)
|
100% |
234
8.23 IPS |
|
|
Object Detection (I8)
|
52% |
240
8.42 IPS |
|
|
Face Detection (F32)
|
100% |
351
4.03 IPS |
|
|
Face Detection (F16)
|
100% |
346
3.97 IPS |
|
|
Face Detection (I8)
|
75% |
395
4.54 IPS |
|
|
Text Classification (F32)
|
100% |
285
112.8 IPS |
|
|
Text Classification (F16)
|
100% |
285
112.9 IPS |
|
|
Machine Translation (F32)
|
100% |
305
47.0 IPS |
|
|
Machine Translation (F16)
|
100% |
333
51.3 IPS |
