samsung SC-52C
Geekbench AI Score
253
Single Precision Score
10848
Half Precision Score
28233
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | SyameimaruKoa |
| Upload Date | December 04 2024 01:33 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
182
33.9 IPS |
|
|
Image Classification (HP)
|
100% |
8366
1.56 KIPS |
|
|
Image Classification (Q)
|
99% |
24079
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
227
3.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
6667
108.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
19088
310.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
292
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
34061
39.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
222937
261.4 IPS |
|
|
Object Detection (SP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
7699
610.7 IPS |
|
|
Object Detection (Q)
|
88% |
11911
954.2 IPS |
|
|
Face Detection (SP)
|
100% |
421
5.00 IPS |
|
|
Face Detection (HP)
|
100% |
18186
216.1 IPS |
|
|
Face Detection (Q)
|
97% |
70753
843.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
347
2.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
26995
208.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
62263
573.2 IPS |
|
|
Style Transfer (SP)
|
100% |
555
0.71 IPS |
|
|
Style Transfer (HP)
|
98% |
38742
50.0 IPS |
|
|
Style Transfer (Q)
|
98% |
214110
276.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
136
5.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21390
789.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
55276
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
177
235.9 IPS |
|
|
Text Classification (HP)
|
100% |
1869
2.49 KIPS |
|
|
Text Classification (Q)
|
94% |
4305
5.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
308
5.31 IPS |
|
|
Machine Translation (HP)
|
100% |
2031
35.0 IPS |
|
|
Machine Translation (Q)
|
50% |
1175
40.7 IPS |
