samsung SM-P620
Geekbench ML Score
299
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 13 2024 10:38 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-P620 |
| Model ID | samsung SM-P620 |
| Motherboard | s5e8825 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.64 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
120
22.5 IPS |
|
|
Image Classification (F16)
|
100% |
119
22.3 IPS |
|
|
Image Classification (I8)
|
97% |
323
60.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
193
3.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
284
4.74 IPS |
|
|
Image Segmentation (I8)
|
98% |
362
6.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
667
0.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
2201
2.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
806
0.98 IPS |
|
|
Object Detection (F32)
|
100% |
127
9.52 IPS |
|
|
Object Detection (F16)
|
100% |
128
9.52 IPS |
|
|
Object Detection (I8)
|
61% |
365
27.2 IPS |
|
|
Face Detection (F32)
|
100% |
311
3.70 IPS |
|
|
Face Detection (F16)
|
100% |
308
3.66 IPS |
|
|
Face Detection (I8)
|
86% |
715
8.50 IPS |
|
|
Depth Estimation (F32)
|
100% |
262
2.03 IPS |
|
|
Depth Estimation (F16)
|
100% |
259
2.01 IPS |
|
|
Depth Estimation (I8)
|
95% |
771
5.98 IPS |
|
|
Style Transfer (F32)
|
100% |
560
0.74 IPS |
|
|
Style Transfer (F16)
|
100% |
581
0.76 IPS |
|
|
Style Transfer (I8)
|
98% |
378
0.50 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
256
9.14 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
375
13.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
470
16.8 IPS |
|
|
Text Classification (F32)
|
100% |
76
109.1 IPS |
|
|
Text Classification (F16)
|
100% |
87
124.6 IPS |
|
|
Text Classification (I8)
|
92% |
67
96.6 IPS |
|
|
Machine Translation (F32)
|
100% |
292
5.38 IPS |
|
|
Machine Translation (F16)
|
100% |
293
5.40 IPS |
|
|
Machine Translation (I8)
|
64% |
387
7.12 IPS |
