samsung SM-M166P
Geekbench ML Score
472
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 26 2025 02:00 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-M166P |
| Model ID | samsung SM-M166P |
| Motherboard | m16xm |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
320
34.3 IPS |
|
|
Image Classification (F16)
|
100% |
540
57.9 IPS |
|
|
Image Classification (I8)
|
80% |
562
60.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
647
3.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
1224
7.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
1216
7.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
223
0.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
548
2.22 IPS |
|
|
Pose Estimation (I8)
|
80% |
549
2.22 IPS |
|
|
Object Detection (F32)
|
100% |
287
10.1 IPS |
|
|
Object Detection (F16)
|
100% |
409
14.4 IPS |
|
|
Object Detection (I8)
|
54% |
428
15.0 IPS |
|
|
Face Detection (F32)
|
100% |
643
7.39 IPS |
|
|
Face Detection (F16)
|
97% |
1197
13.8 IPS |
|
|
Face Detection (I8)
|
75% |
1068
12.3 IPS |
|
|
Text Classification (F32)
|
100% |
219
86.6 IPS |
|
|
Text Classification (F16)
|
98% |
324
128.3 IPS |
|
|
Machine Translation (F32)
|
100% |
184
28.4 IPS |
|
|
Machine Translation (F16)
|
100% |
190
29.3 IPS |
