samsung SM-M166P
Geekbench ML Score
429
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 09 2025 03:50 AM |
| Views | 1 |
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 | 6.28 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
275
29.5 IPS |
|
|
Image Classification (F16)
|
100% |
432
46.3 IPS |
|
|
Image Classification (I8)
|
80% |
453
48.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
631
3.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
1206
7.45 IPS |
|
|
Image Segmentation (I8)
|
89% |
1210
7.47 IPS |
|
|
Pose Estimation (F32)
|
100% |
219
0.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
538
2.18 IPS |
|
|
Pose Estimation (I8)
|
80% |
538
2.17 IPS |
|
|
Object Detection (F32)
|
100% |
252
8.86 IPS |
|
|
Object Detection (F16)
|
100% |
364
12.8 IPS |
|
|
Object Detection (I8)
|
54% |
373
13.1 IPS |
|
|
Face Detection (F32)
|
100% |
636
7.31 IPS |
|
|
Face Detection (F16)
|
97% |
1154
13.3 IPS |
|
|
Face Detection (I8)
|
75% |
1049
12.0 IPS |
|
|
Text Classification (F32)
|
100% |
221
87.6 IPS |
|
|
Text Classification (F16)
|
98% |
288
113.8 IPS |
|
|
Machine Translation (F32)
|
100% |
144
22.3 IPS |
|
|
Machine Translation (F16)
|
100% |
141
21.7 IPS |
