samsung SM-T835N
Geekbench ML Score
391
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 01:51 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
197
21.1 IPS |
|
|
Image Classification (F16)
|
100% |
476
51.0 IPS |
|
|
Image Classification (I8)
|
80% |
455
48.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
449
2.78 IPS |
|
|
Image Segmentation (F16)
|
100% |
1230
7.60 IPS |
|
|
Image Segmentation (I8)
|
89% |
1213
7.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
213
0.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
654
2.65 IPS |
|
|
Pose Estimation (I8)
|
80% |
656
2.66 IPS |
|
|
Object Detection (F32)
|
100% |
144
5.06 IPS |
|
|
Object Detection (F16)
|
99% |
305
10.7 IPS |
|
|
Object Detection (I8)
|
53% |
257
9.00 IPS |
|
|
Face Detection (F32)
|
100% |
469
5.39 IPS |
|
|
Face Detection (F16)
|
97% |
1229
14.1 IPS |
|
|
Face Detection (I8)
|
75% |
1121
12.9 IPS |
|
|
Text Classification (F32)
|
100% |
193
76.2 IPS |
|
|
Text Classification (F16)
|
98% |
380
150.4 IPS |
|
|
Machine Translation (F32)
|
100% |
114
17.6 IPS |
|
|
Machine Translation (F16)
|
100% |
116
17.8 IPS |
