samsung SM-T735N
Geekbench ML Score
432
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 09 2022 05:23 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | samsung SM-T735N |
| Model ID | samsung SM-T735N |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 3.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
372
39.9 IPS |
|
|
Image Classification (F16)
|
100% |
515
55.2 IPS |
|
|
Image Classification (I8)
|
80% |
1247
133.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
557
3.44 IPS |
|
|
Image Segmentation (F16)
|
100% |
675
4.17 IPS |
|
|
Image Segmentation (I8)
|
89% |
3239
20.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
156
0.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
363
1.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
1354
5.48 IPS |
|
|
Object Detection (F32)
|
100% |
317
11.1 IPS |
|
|
Object Detection (F16)
|
100% |
376
13.2 IPS |
|
|
Object Detection (I8)
|
52% |
571
20.0 IPS |
|
|
Face Detection (F32)
|
100% |
443
5.09 IPS |
|
|
Face Detection (F16)
|
97% |
530
6.09 IPS |
|
|
Face Detection (I8)
|
40% |
2255
25.9 IPS |
|
|
Text Classification (F32)
|
54% |
37
14.6 IPS |
|
|
Text Classification (F16)
|
54% |
37
14.6 IPS |
|
|
Machine Translation (F32)
|
100% |
329
50.7 IPS |
|
|
Machine Translation (F16)
|
100% |
338
52.1 IPS |
