samsung SM-M166P
Geekbench ML Score
459
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 22 2025 02:49 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
300
32.2 IPS |
|
|
Image Classification (F16)
|
100% |
524
56.1 IPS |
|
|
Image Classification (I8)
|
80% |
513
54.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
616
3.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
1172
7.24 IPS |
|
|
Image Segmentation (I8)
|
89% |
1167
7.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
230
0.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
531
2.15 IPS |
|
|
Pose Estimation (I8)
|
80% |
535
2.17 IPS |
|
|
Object Detection (F32)
|
100% |
263
9.23 IPS |
|
|
Object Detection (F16)
|
100% |
409
14.4 IPS |
|
|
Object Detection (I8)
|
54% |
425
14.9 IPS |
|
|
Face Detection (F32)
|
100% |
627
7.20 IPS |
|
|
Face Detection (F16)
|
97% |
1161
13.3 IPS |
|
|
Face Detection (I8)
|
75% |
1142
13.1 IPS |
|
|
Text Classification (F32)
|
100% |
206
81.6 IPS |
|
|
Text Classification (F16)
|
98% |
314
124.2 IPS |
|
|
Machine Translation (F32)
|
100% |
190
29.4 IPS |
|
|
Machine Translation (F16)
|
100% |
187
28.8 IPS |
