samsung SM-X200
Geekbench ML Score
177
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 09 2023 07:29 PM |
| Views | 1 |
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% |
120
12.8 IPS |
|
|
Image Classification (F16)
|
100% |
120
12.8 IPS |
|
|
Image Classification (I8)
|
81% |
181
19.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
256
1.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
255
1.57 IPS |
|
|
Image Segmentation (I8)
|
89% |
538
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
95
0.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
81
0.33 IPS |
|
|
Pose Estimation (I8)
|
80% |
136
0.55 IPS |
|
|
Object Detection (F32)
|
100% |
171
6.00 IPS |
|
|
Object Detection (F16)
|
100% |
172
6.03 IPS |
|
|
Object Detection (I8)
|
52% |
252
8.85 IPS |
|
|
Face Detection (F32)
|
100% |
232
2.67 IPS |
|
|
Face Detection (F16)
|
100% |
232
2.67 IPS |
|
|
Face Detection (I8)
|
75% |
374
4.29 IPS |
|
|
Text Classification (F32)
|
100% |
158
62.6 IPS |
|
|
Text Classification (F16)
|
100% |
157
62.2 IPS |
|
|
Machine Translation (F32)
|
100% |
124
19.2 IPS |
|
|
Machine Translation (F16)
|
100% |
118
18.2 IPS |
