samsung SM-T835N
Geekbench ML Score
496
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 09 2022 07:41 AM |
| Views | 3 |
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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
227
24.3 IPS |
|
|
Image Classification (F16)
|
100% |
557
59.7 IPS |
|
|
Image Classification (I8)
|
80% |
512
54.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
703
4.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
1757
10.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1919
11.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
341
1.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
993
4.02 IPS |
|
|
Pose Estimation (I8)
|
80% |
991
4.01 IPS |
|
|
Object Detection (F32)
|
100% |
181
6.34 IPS |
|
|
Object Detection (F16)
|
99% |
305
10.7 IPS |
|
|
Object Detection (I8)
|
53% |
303
10.6 IPS |
|
|
Face Detection (F32)
|
100% |
716
8.22 IPS |
|
|
Face Detection (F16)
|
97% |
1474
16.9 IPS |
|
|
Face Detection (I8)
|
75% |
1343
15.4 IPS |
|
|
Text Classification (F32)
|
100% |
209
82.6 IPS |
|
|
Text Classification (F16)
|
98% |
352
139.2 IPS |
|
|
Machine Translation (F32)
|
100% |
135
20.8 IPS |
|
|
Machine Translation (F16)
|
100% |
136
21.0 IPS |
