samsung SM-X200
Geekbench ML Score
184
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | July 20 2023 06:51 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-X200 |
| Model ID | samsung SM-X200 |
| Motherboard | ums512_25c10 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM UNISOC |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.42 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
118
12.7 IPS |
|
|
Image Classification (F16)
|
100% |
117
12.5 IPS |
|
|
Image Classification (I8)
|
81% |
254
27.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
253
1.56 IPS |
|
|
Image Segmentation (F16)
|
100% |
252
1.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
596
3.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
87
0.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
91
0.37 IPS |
|
|
Pose Estimation (I8)
|
80% |
144
0.58 IPS |
|
|
Object Detection (F32)
|
100% |
169
5.95 IPS |
|
|
Object Detection (F16)
|
100% |
169
5.95 IPS |
|
|
Object Detection (I8)
|
52% |
294
10.3 IPS |
|
|
Face Detection (F32)
|
100% |
237
2.72 IPS |
|
|
Face Detection (F16)
|
100% |
232
2.67 IPS |
|
|
Face Detection (I8)
|
75% |
428
4.92 IPS |
|
|
Text Classification (F32)
|
100% |
151
59.6 IPS |
|
|
Text Classification (F16)
|
100% |
150
59.5 IPS |
|
|
Machine Translation (F32)
|
100% |
131
20.2 IPS |
|
|
Machine Translation (F16)
|
100% |
131
20.2 IPS |
