samsung SM-C5560
Geekbench AI Score
344
Single Precision Score
402
Half Precision Score
412
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | cnliyx |
| Upload Date | March 05 2025 12:49 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
223
41.4 IPS |
|
|
Image Classification (HP)
|
100% |
364
67.7 IPS |
|
|
Image Classification (Q)
|
97% |
351
65.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
524
8.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
503
8.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
386
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
188
0.22 IPS |
|
|
Pose Estimation (Q)
|
95% |
187
0.22 IPS |
|
|
Object Detection (SP)
|
100% |
190
15.1 IPS |
|
|
Object Detection (HP)
|
100% |
240
19.1 IPS |
|
|
Object Detection (Q)
|
89% |
260
20.8 IPS |
|
|
Face Detection (SP)
|
100% |
751
8.92 IPS |
|
|
Face Detection (HP)
|
100% |
1114
13.2 IPS |
|
|
Face Detection (Q)
|
97% |
1020
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
542
4.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
734
5.67 IPS |
|
|
Depth Estimation (Q)
|
63% |
603
5.66 IPS |
|
|
Style Transfer (SP)
|
100% |
1167
1.50 IPS |
|
|
Style Transfer (HP)
|
100% |
1910
2.46 IPS |
|
|
Style Transfer (Q)
|
98% |
1927
2.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
257
9.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
270
9.97 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
264
9.79 IPS |
|
|
Text Classification (SP)
|
100% |
134
178.3 IPS |
|
|
Text Classification (HP)
|
100% |
134
179.5 IPS |
|
|
Text Classification (Q)
|
91% |
249
334.9 IPS |
|
|
Machine Translation (SP)
|
100% |
228
3.93 IPS |
|
|
Machine Translation (HP)
|
100% |
227
3.91 IPS |
|
|
Machine Translation (Q)
|
57% |
211
5.17 IPS |
