samsung SM-M166P
Geekbench ML Score
476
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 12 2025 05:08 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
317
34.0 IPS |
|
|
Image Classification (F16)
|
100% |
565
60.5 IPS |
|
|
Image Classification (I8)
|
80% |
530
56.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
649
4.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
1235
7.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
1235
7.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
236
0.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
545
2.20 IPS |
|
|
Pose Estimation (I8)
|
80% |
543
2.20 IPS |
|
|
Object Detection (F32)
|
100% |
284
9.95 IPS |
|
|
Object Detection (F16)
|
100% |
431
15.1 IPS |
|
|
Object Detection (I8)
|
54% |
423
14.8 IPS |
|
|
Face Detection (F32)
|
100% |
640
7.36 IPS |
|
|
Face Detection (F16)
|
97% |
1222
14.0 IPS |
|
|
Face Detection (I8)
|
75% |
1097
12.6 IPS |
|
|
Text Classification (F32)
|
100% |
215
85.1 IPS |
|
|
Text Classification (F16)
|
98% |
300
118.8 IPS |
|
|
Machine Translation (F32)
|
100% |
199
30.6 IPS |
|
|
Machine Translation (F16)
|
100% |
208
32.1 IPS |
