samsung SM-T290
Geekbench ML Score
72
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 03 2025 11:27 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | samsung SM-T290 |
| Model ID | samsung SM-T290 |
| Motherboard | QC_Reference_Phone |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 1.80 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
55
5.86 IPS |
|
|
Image Classification (F16)
|
100% |
55
5.88 IPS |
|
|
Image Classification (I8)
|
81% |
135
14.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
98
0.61 IPS |
|
|
Image Segmentation (F16)
|
100% |
98
0.60 IPS |
|
|
Image Segmentation (I8)
|
89% |
294
1.81 IPS |
|
|
Pose Estimation (F32)
|
100% |
35
0.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
35
0.14 IPS |
|
|
Pose Estimation (I8)
|
80% |
64
0.26 IPS |
|
|
Object Detection (F32)
|
100% |
72
2.52 IPS |
|
|
Object Detection (F16)
|
100% |
73
2.56 IPS |
|
|
Object Detection (I8)
|
52% |
139
4.87 IPS |
|
|
Face Detection (F32)
|
100% |
103
1.18 IPS |
|
|
Face Detection (F16)
|
100% |
103
1.19 IPS |
|
|
Face Detection (I8)
|
75% |
227
2.61 IPS |
|
|
Text Classification (F32)
|
100% |
65
25.6 IPS |
|
|
Text Classification (F16)
|
100% |
65
25.5 IPS |
|
|
Machine Translation (F32)
|
100% |
18
2.79 IPS |
|
|
Machine Translation (F16)
|
100% |
18
2.79 IPS |
