samsung SM-S711B
Geekbench AI Score
277
Single Precision Score
276
Half Precision Score
676
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 21 2025 08:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S711B |
| Model ID | samsung SM-S711B |
| Motherboard | s5e9925 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 4 Cores @ 1.82 GHz |
| Cluster 2 | 3 Cores @ 2.52 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
180
33.5 IPS |
|
|
Image Classification (HP)
|
100% |
179
33.3 IPS |
|
|
Image Classification (Q)
|
99% |
523
97.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
229
3.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
229
3.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
554
9.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
306
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
300
0.35 IPS |
|
|
Pose Estimation (Q)
|
98% |
1211
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (Q)
|
87% |
517
41.4 IPS |
|
|
Face Detection (SP)
|
100% |
454
5.40 IPS |
|
|
Face Detection (HP)
|
100% |
444
5.27 IPS |
|
|
Face Detection (Q)
|
97% |
1037
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
370
2.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
356
2.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
788
7.15 IPS |
|
|
Style Transfer (SP)
|
100% |
565
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
596
0.77 IPS |
|
|
Style Transfer (Q)
|
98% |
1558
2.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
174
6.41 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
172
6.35 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
638
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
218
291.1 IPS |
|
|
Text Classification (HP)
|
100% |
219
291.8 IPS |
|
|
Text Classification (Q)
|
91% |
400
538.2 IPS |
|
|
Machine Translation (SP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (HP)
|
100% |
369
6.35 IPS |
|
|
Machine Translation (Q)
|
57% |
340
8.30 IPS |
