samsung SM-T505
Geekbench ML Score
153
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 08 2024 10:42 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-T505 |
| Model ID | samsung SM-T505 |
| Motherboard | bengal |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 2.64 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
97
10.4 IPS |
|
|
Image Classification (F16)
|
100% |
98
10.5 IPS |
|
|
Image Classification (I8)
|
81% |
300
32.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
183
1.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
188
1.16 IPS |
|
|
Image Segmentation (I8)
|
89% |
467
2.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
90
0.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
84
0.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
145
0.59 IPS |
|
|
Object Detection (F32)
|
100% |
129
4.52 IPS |
|
|
Object Detection (F16)
|
100% |
132
4.63 IPS |
|
|
Object Detection (I8)
|
52% |
232
8.16 IPS |
|
|
Face Detection (F32)
|
100% |
178
2.05 IPS |
|
|
Face Detection (F16)
|
100% |
182
2.09 IPS |
|
|
Face Detection (I8)
|
75% |
407
4.67 IPS |
|
|
Text Classification (F32)
|
100% |
112
44.3 IPS |
|
|
Text Classification (F16)
|
100% |
113
44.6 IPS |
|
|
Machine Translation (F32)
|
100% |
100
15.4 IPS |
|
|
Machine Translation (F16)
|
100% |
99
15.2 IPS |
