samsung SM-T835N
Geekbench ML Score
97
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 02:03 PM |
| Views | 5 |
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 |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
67
7.21 IPS |
|
|
Image Classification (F16)
|
100% |
65
6.93 IPS |
|
|
Image Classification (I8)
|
81% |
97
10.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
138
0.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
138
0.85 IPS |
|
|
Image Segmentation (I8)
|
89% |
166
1.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
62
0.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
62
0.25 IPS |
|
|
Pose Estimation (I8)
|
80% |
31
0.12 IPS |
|
|
Object Detection (F32)
|
100% |
89
3.11 IPS |
|
|
Object Detection (F16)
|
100% |
107
3.76 IPS |
|
|
Object Detection (I8)
|
52% |
118
4.14 IPS |
|
|
Face Detection (F32)
|
100% |
120
1.38 IPS |
|
|
Face Detection (F16)
|
100% |
123
1.41 IPS |
|
|
Face Detection (I8)
|
75% |
129
1.49 IPS |
|
|
Text Classification (F32)
|
100% |
124
49.2 IPS |
|
|
Text Classification (F16)
|
100% |
125
49.3 IPS |
|
|
Machine Translation (F32)
|
100% |
108
16.6 IPS |
|
|
Machine Translation (F16)
|
100% |
113
17.3 IPS |
