samsung SC-52C
Geekbench AI Score
215
Single Precision Score
215
Half Precision Score
514
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | SyameimaruKoa |
| Upload Date | December 04 2024 01:51 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SC-52C |
| Model ID | samsung SC-52C |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
148
27.6 IPS |
|
|
Image Classification (HP)
|
100% |
134
24.9 IPS |
|
|
Image Classification (Q)
|
99% |
342
63.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
159
2.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
159
2.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
362
5.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
218
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (Q)
|
98% |
875
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.60 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.68 IPS |
|
|
Object Detection (Q)
|
87% |
366
29.4 IPS |
|
|
Face Detection (SP)
|
100% |
357
4.24 IPS |
|
|
Face Detection (HP)
|
100% |
347
4.12 IPS |
|
|
Face Detection (Q)
|
97% |
807
9.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
288
2.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
303
2.33 IPS |
|
|
Depth Estimation (Q)
|
64% |
741
6.72 IPS |
|
|
Style Transfer (SP)
|
100% |
498
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
519
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
1333
1.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
140
5.18 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
139
5.13 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
489
18.1 IPS |
|
|
Text Classification (SP)
|
100% |
168
224.7 IPS |
|
|
Text Classification (HP)
|
100% |
168
224.5 IPS |
|
|
Text Classification (Q)
|
91% |
319
429.3 IPS |
|
|
Machine Translation (SP)
|
100% |
293
5.04 IPS |
|
|
Machine Translation (HP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (Q)
|
57% |
262
6.40 IPS |
