samsung SC-52C
Geekbench AI Score
508
Single Precision Score
778
Half Precision Score
806
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | SyameimaruKoa |
| Upload Date | December 04 2024 01:59 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
203
37.8 IPS |
|
|
Image Classification (HP)
|
100% |
360
66.9 IPS |
|
|
Image Classification (Q)
|
97% |
344
64.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
734
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
704
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
551
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
1072
1.25 IPS |
|
|
Pose Estimation (Q)
|
95% |
1071
1.26 IPS |
|
|
Object Detection (SP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (HP)
|
100% |
478
37.9 IPS |
|
|
Object Detection (Q)
|
89% |
555
44.4 IPS |
|
|
Face Detection (SP)
|
100% |
1383
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
2100
24.9 IPS |
|
|
Face Detection (Q)
|
97% |
1916
22.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
969
7.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
1922
14.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
1468
13.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2231
2.87 IPS |
|
|
Style Transfer (HP)
|
100% |
4613
5.93 IPS |
|
|
Style Transfer (Q)
|
98% |
4553
5.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
334
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
479
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
477
17.7 IPS |
|
|
Text Classification (SP)
|
100% |
243
324.2 IPS |
|
|
Text Classification (HP)
|
100% |
192
256.9 IPS |
|
|
Text Classification (Q)
|
91% |
374
502.9 IPS |
|
|
Machine Translation (SP)
|
100% |
339
5.85 IPS |
|
|
Machine Translation (HP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (Q)
|
57% |
354
8.65 IPS |
