samsung SM-M166P
Geekbench ML Score
474
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 23 2024 04:05 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 | 3.36 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
312
33.5 IPS |
|
|
Image Classification (F16)
|
100% |
560
60.0 IPS |
|
|
Image Classification (I8)
|
80% |
537
57.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
625
3.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
1187
7.33 IPS |
|
|
Image Segmentation (I8)
|
89% |
1203
7.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
225
0.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
495
2.00 IPS |
|
|
Pose Estimation (I8)
|
80% |
552
2.23 IPS |
|
|
Object Detection (F32)
|
100% |
270
9.47 IPS |
|
|
Object Detection (F16)
|
100% |
442
15.5 IPS |
|
|
Object Detection (I8)
|
54% |
438
15.4 IPS |
|
|
Face Detection (F32)
|
100% |
623
7.16 IPS |
|
|
Face Detection (F16)
|
97% |
1157
13.3 IPS |
|
|
Face Detection (I8)
|
75% |
1097
12.6 IPS |
|
|
Text Classification (F32)
|
100% |
205
81.1 IPS |
|
|
Text Classification (F16)
|
98% |
371
146.7 IPS |
|
|
Machine Translation (F32)
|
100% |
205
31.6 IPS |
|
|
Machine Translation (F16)
|
100% |
212
32.7 IPS |
