samsung SM-M055F
Geekbench ML Score
281
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 01 2025 01:12 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-M055F |
| Model ID | samsung SM-M055F |
| Motherboard | a05m |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| 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 | 3.57 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
169
18.1 IPS |
|
|
Image Classification (F16)
|
100% |
356
38.2 IPS |
|
|
Image Classification (I8)
|
81% |
326
34.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
326
2.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
910
5.62 IPS |
|
|
Image Segmentation (I8)
|
89% |
888
5.48 IPS |
|
|
Pose Estimation (F32)
|
100% |
93
0.38 IPS |
|
|
Pose Estimation (F16)
|
0% |
361
1.46 IPS |
|
|
Pose Estimation (I8)
|
0% |
365
1.48 IPS |
|
|
Object Detection (F32)
|
100% |
161
5.64 IPS |
|
|
Object Detection (F16)
|
99% |
279
9.81 IPS |
|
|
Object Detection (I8)
|
54% |
279
9.78 IPS |
|
|
Face Detection (F32)
|
100% |
354
4.07 IPS |
|
|
Face Detection (F16)
|
97% |
746
8.57 IPS |
|
|
Face Detection (I8)
|
75% |
657
7.55 IPS |
|
|
Text Classification (F32)
|
100% |
181
71.7 IPS |
|
|
Text Classification (F16)
|
46% |
190
75.1 IPS |
|
|
Machine Translation (F32)
|
100% |
95
14.6 IPS |
|
|
Machine Translation (F16)
|
100% |
78
12.0 IPS |
