samsung SM-T835N
Geekbench ML Score
124
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 09 2022 07:49 AM |
| Views | 2 |
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 | NNAPI |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
79
8.45 IPS |
|
|
Image Classification (F16)
|
100% |
79
8.47 IPS |
|
|
Image Classification (I8)
|
81% |
134
14.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
174
1.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
184
1.14 IPS |
|
|
Image Segmentation (I8)
|
89% |
229
1.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
73
0.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
70
0.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
43
0.17 IPS |
|
|
Object Detection (F32)
|
100% |
130
4.55 IPS |
|
|
Object Detection (F16)
|
100% |
104
3.64 IPS |
|
|
Object Detection (I8)
|
52% |
166
5.81 IPS |
|
|
Face Detection (F32)
|
100% |
134
1.54 IPS |
|
|
Face Detection (F16)
|
100% |
145
1.66 IPS |
|
|
Face Detection (I8)
|
75% |
179
2.06 IPS |
|
|
Text Classification (F32)
|
100% |
177
70.1 IPS |
|
|
Text Classification (F16)
|
100% |
177
70.0 IPS |
|
|
Machine Translation (F32)
|
100% |
143
22.0 IPS |
|
|
Machine Translation (F16)
|
100% |
143
22.0 IPS |
