samsung SM-T835N
Geekbench ML Score
155
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 09 2022 07:24 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | samsung SM-T835N |
| Model ID | samsung SM-T835N |
| Motherboard | msm8998 |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 1 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.36 GHz |
| Memory Information | |
|---|---|
| Size | 5.46 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
88
9.44 IPS |
|
|
Image Classification (F16)
|
100% |
86
9.18 IPS |
|
|
Image Classification (I8)
|
81% |
141
15.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
216
1.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
223
1.38 IPS |
|
|
Image Segmentation (I8)
|
89% |
510
3.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
95
0.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
93
0.38 IPS |
|
|
Pose Estimation (I8)
|
80% |
136
0.55 IPS |
|
|
Object Detection (F32)
|
100% |
144
5.04 IPS |
|
|
Object Detection (F16)
|
100% |
146
5.13 IPS |
|
|
Object Detection (I8)
|
52% |
205
7.20 IPS |
|
|
Face Detection (F32)
|
100% |
213
2.45 IPS |
|
|
Face Detection (F16)
|
100% |
208
2.39 IPS |
|
|
Face Detection (I8)
|
75% |
323
3.71 IPS |
|
|
Text Classification (F32)
|
100% |
115
45.4 IPS |
|
|
Text Classification (F16)
|
100% |
110
43.4 IPS |
|
|
Machine Translation (F32)
|
100% |
133
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
139
21.5 IPS |
