samsung SM-M325F
Geekbench ML Score
137
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 31 2023 12:17 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-M325F |
| Model ID | samsung SM-M325F |
| Motherboard | m32 |
| CPU Information | |
|---|---|
| Name | ARM MT6769V/CT |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
70
7.51 IPS |
|
|
Image Classification (F16)
|
100% |
93
9.96 IPS |
|
|
Image Classification (I8)
|
81% |
201
21.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
1.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
178
1.10 IPS |
|
|
Image Segmentation (I8)
|
89% |
474
2.93 IPS |
|
|
Pose Estimation (F32)
|
100% |
94
0.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
92
0.37 IPS |
|
|
Pose Estimation (I8)
|
80% |
121
0.49 IPS |
|
|
Object Detection (F32)
|
100% |
99
3.49 IPS |
|
|
Object Detection (F16)
|
100% |
100
3.51 IPS |
|
|
Object Detection (I8)
|
52% |
254
8.93 IPS |
|
|
Face Detection (F32)
|
100% |
162
1.86 IPS |
|
|
Face Detection (F16)
|
100% |
181
2.07 IPS |
|
|
Face Detection (I8)
|
75% |
348
3.99 IPS |
|
|
Text Classification (F32)
|
100% |
104
41.1 IPS |
|
|
Text Classification (F16)
|
100% |
112
44.4 IPS |
|
|
Machine Translation (F32)
|
100% |
78
12.0 IPS |
|
|
Machine Translation (F16)
|
100% |
81
12.5 IPS |
