samsung SM-C5560
Geekbench AI Score
160
Single Precision Score
161
Half Precision Score
386
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | cnliyx |
| Upload Date | March 05 2025 01:18 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-C5560 |
| Model ID | samsung SM-C5560 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3399 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.36 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
94
17.5 IPS |
|
|
Image Classification (HP)
|
100% |
94
17.5 IPS |
|
|
Image Classification (Q)
|
99% |
252
46.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
125
2.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
127
2.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
278
4.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
172
0.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
173
0.20 IPS |
|
|
Pose Estimation (Q)
|
98% |
655
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
93
7.41 IPS |
|
|
Object Detection (HP)
|
100% |
94
7.47 IPS |
|
|
Object Detection (Q)
|
87% |
271
21.7 IPS |
|
|
Face Detection (SP)
|
100% |
247
2.93 IPS |
|
|
Face Detection (HP)
|
100% |
248
2.94 IPS |
|
|
Face Detection (Q)
|
97% |
551
6.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
213
1.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
214
1.65 IPS |
|
|
Depth Estimation (Q)
|
64% |
531
4.82 IPS |
|
|
Style Transfer (SP)
|
100% |
377
0.48 IPS |
|
|
Style Transfer (HP)
|
100% |
378
0.49 IPS |
|
|
Style Transfer (Q)
|
98% |
1070
1.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
101
3.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
105
3.86 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
366
13.6 IPS |
|
|
Text Classification (SP)
|
100% |
133
177.3 IPS |
|
|
Text Classification (HP)
|
100% |
133
178.1 IPS |
|
|
Text Classification (Q)
|
91% |
249
334.6 IPS |
|
|
Machine Translation (SP)
|
100% |
227
3.91 IPS |
|
|
Machine Translation (HP)
|
100% |
226
3.90 IPS |
|
|
Machine Translation (Q)
|
57% |
211
5.15 IPS |
