samsung SM-X200
Geekbench ML Score
149
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 13 2023 07:52 AM |
| 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% |
97
10.4 IPS |
|
|
Image Classification (F16)
|
100% |
103
11.0 IPS |
|
|
Image Classification (I8)
|
81% |
102
10.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
214
1.32 IPS |
|
|
Image Segmentation (F16)
|
100% |
211
1.30 IPS |
|
|
Image Segmentation (I8)
|
89% |
438
2.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
67
0.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
69
0.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
104
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
137
4.82 IPS |
|
|
Object Detection (F16)
|
100% |
137
4.82 IPS |
|
|
Object Detection (I8)
|
52% |
149
5.24 IPS |
|
|
Face Detection (F32)
|
100% |
230
2.64 IPS |
|
|
Face Detection (F16)
|
100% |
231
2.65 IPS |
|
|
Face Detection (I8)
|
75% |
409
4.70 IPS |
|
|
Text Classification (F32)
|
100% |
148
58.6 IPS |
|
|
Text Classification (F16)
|
100% |
158
62.4 IPS |
|
|
Machine Translation (F32)
|
100% |
125
19.2 IPS |
|
|
Machine Translation (F16)
|
100% |
128
19.8 IPS |
