samsung SM-S711B
Geekbench AI Score
273
Single Precision Score
271
Half Precision Score
662
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 10:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
181
33.6 IPS |
|
|
Image Classification (HP)
|
100% |
183
34.0 IPS |
|
|
Image Classification (Q)
|
99% |
491
91.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
218
3.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
492
7.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
284
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
268
0.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
1110
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
152
12.0 IPS |
|
|
Object Detection (HP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (Q)
|
87% |
469
37.7 IPS |
|
|
Face Detection (SP)
|
100% |
414
4.92 IPS |
|
|
Face Detection (HP)
|
100% |
417
4.95 IPS |
|
|
Face Detection (Q)
|
97% |
1001
11.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
344
2.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
337
2.60 IPS |
|
|
Depth Estimation (Q)
|
64% |
844
7.65 IPS |
|
|
Style Transfer (SP)
|
100% |
563
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
591
0.76 IPS |
|
|
Style Transfer (Q)
|
98% |
1558
2.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
184
6.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
179
6.60 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
670
24.8 IPS |
|
|
Text Classification (SP)
|
100% |
228
304.3 IPS |
|
|
Text Classification (HP)
|
100% |
228
304.4 IPS |
|
|
Text Classification (Q)
|
91% |
422
566.7 IPS |
|
|
Machine Translation (SP)
|
100% |
409
7.05 IPS |
|
|
Machine Translation (HP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (Q)
|
57% |
350
8.56 IPS |
