samsung SM-M166P
Geekbench ML Score
492
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 19 2024 10:29 PM |
| Views | 2 |
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 | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
319
34.1 IPS |
|
|
Image Classification (F16)
|
100% |
589
63.1 IPS |
|
|
Image Classification (I8)
|
80% |
553
59.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
645
3.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
1234
7.62 IPS |
|
|
Image Segmentation (I8)
|
89% |
1237
7.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
229
0.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
572
2.31 IPS |
|
|
Pose Estimation (I8)
|
80% |
566
2.29 IPS |
|
|
Object Detection (F32)
|
100% |
302
10.6 IPS |
|
|
Object Detection (F16)
|
100% |
464
16.3 IPS |
|
|
Object Detection (I8)
|
54% |
443
15.5 IPS |
|
|
Face Detection (F32)
|
100% |
674
7.75 IPS |
|
|
Face Detection (F16)
|
97% |
1315
15.1 IPS |
|
|
Face Detection (I8)
|
75% |
1190
13.7 IPS |
|
|
Text Classification (F32)
|
100% |
224
88.5 IPS |
|
|
Text Classification (F16)
|
98% |
331
130.8 IPS |
|
|
Machine Translation (F32)
|
100% |
189
29.2 IPS |
|
|
Machine Translation (F16)
|
100% |
202
31.1 IPS |
