samsung SM-M055F
Geekbench ML Score
297
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 20 2025 12:03 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
170
18.3 IPS |
|
|
Image Classification (F16)
|
100% |
360
38.6 IPS |
|
|
Image Classification (I8)
|
81% |
326
35.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
320
1.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
919
5.68 IPS |
|
|
Image Segmentation (I8)
|
89% |
886
5.47 IPS |
|
|
Pose Estimation (F32)
|
100% |
96
0.39 IPS |
|
|
Pose Estimation (F16)
|
0% |
366
1.48 IPS |
|
|
Pose Estimation (I8)
|
0% |
368
1.49 IPS |
|
|
Object Detection (F32)
|
100% |
161
5.66 IPS |
|
|
Object Detection (F16)
|
99% |
294
10.3 IPS |
|
|
Object Detection (I8)
|
54% |
279
9.81 IPS |
|
|
Face Detection (F32)
|
100% |
358
4.12 IPS |
|
|
Face Detection (F16)
|
97% |
756
8.68 IPS |
|
|
Face Detection (I8)
|
75% |
646
7.42 IPS |
|
|
Text Classification (F32)
|
100% |
212
83.9 IPS |
|
|
Text Classification (F16)
|
46% |
380
150.2 IPS |
|
|
Machine Translation (F32)
|
100% |
96
14.7 IPS |
|
|
Machine Translation (F16)
|
100% |
85
13.2 IPS |
