samsung SM-S256VL
Geekbench AI Score
412
Single Precision Score
400
Half Precision Score
751
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 09 2024 03:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S256VL |
| Model ID | samsung SM-S256VL |
| Motherboard | s5e8825 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
182
33.9 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.9 IPS |
|
|
Image Classification (Q)
|
100% |
499
92.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
239
3.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
235
3.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
605
9.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
906
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
888
1.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
1340
1.59 IPS |
|
|
Object Detection (SP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (Q)
|
83% |
487
39.4 IPS |
|
|
Face Detection (SP)
|
100% |
591
7.03 IPS |
|
|
Face Detection (HP)
|
100% |
585
6.95 IPS |
|
|
Face Detection (Q)
|
95% |
1182
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
735
5.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
725
5.59 IPS |
|
|
Depth Estimation (Q)
|
64% |
1113
10.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1482
1.92 IPS |
|
|
Style Transfer (HP)
|
89% |
1466
1.90 IPS |
|
|
Style Transfer (Q)
|
98% |
3015
3.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
406
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
390
14.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
712
26.4 IPS |
|
|
Text Classification (SP)
|
100% |
200
266.8 IPS |
|
|
Text Classification (HP)
|
100% |
198
263.6 IPS |
|
|
Text Classification (Q)
|
88% |
389
524.7 IPS |
|
|
Machine Translation (SP)
|
100% |
374
6.45 IPS |
|
|
Machine Translation (HP)
|
100% |
350
6.04 IPS |
|
|
Machine Translation (Q)
|
50% |
264
9.38 IPS |
