samsung SC-53F
Geekbench AI Score
365
Single Precision Score
365
Half Precision Score
677
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 11:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SC-53F |
| Model ID | samsung SC-53F |
| Motherboard | a25ex |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
155
28.8 IPS |
|
|
Image Classification (HP)
|
100% |
151
28.1 IPS |
|
|
Image Classification (Q)
|
100% |
488
90.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
543
8.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
779
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
789
0.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
1164
1.38 IPS |
|
|
Object Detection (SP)
|
100% |
152
12.0 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
83% |
440
35.6 IPS |
|
|
Face Detection (SP)
|
100% |
563
6.68 IPS |
|
|
Face Detection (HP)
|
100% |
565
6.71 IPS |
|
|
Face Detection (Q)
|
95% |
1024
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
705
5.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
702
5.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
1073
9.83 IPS |
|
|
Style Transfer (SP)
|
89% |
1357
1.76 IPS |
|
|
Style Transfer (HP)
|
89% |
1340
1.74 IPS |
|
|
Style Transfer (Q)
|
98% |
2673
3.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
364
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
638
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
181
241.1 IPS |
|
|
Text Classification (HP)
|
100% |
176
235.4 IPS |
|
|
Text Classification (Q)
|
88% |
335
452.1 IPS |
|
|
Machine Translation (SP)
|
100% |
321
5.52 IPS |
|
|
Machine Translation (HP)
|
100% |
320
5.51 IPS |
|
|
Machine Translation (Q)
|
50% |
239
8.49 IPS |
