samsung SM-S711B
Geekbench AI Score
284
Single Precision Score
283
Half Precision Score
693
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 31 2024 03:11 PM |
| 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
33.7 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.9 IPS |
|
|
Image Classification (Q)
|
99% |
523
97.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
238
3.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
238
3.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
565
9.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
313
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
277
0.32 IPS |
|
|
Pose Estimation (Q)
|
98% |
1107
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
157
12.4 IPS |
|
|
Object Detection (HP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (Q)
|
87% |
485
38.9 IPS |
|
|
Face Detection (SP)
|
100% |
437
5.19 IPS |
|
|
Face Detection (HP)
|
100% |
451
5.36 IPS |
|
|
Face Detection (Q)
|
97% |
1080
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
364
2.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
355
2.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
924
8.39 IPS |
|
|
Style Transfer (SP)
|
100% |
613
0.79 IPS |
|
|
Style Transfer (HP)
|
100% |
629
0.81 IPS |
|
|
Style Transfer (Q)
|
98% |
1564
2.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
183
6.77 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
180
6.63 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
671
24.9 IPS |
|
|
Text Classification (SP)
|
100% |
227
303.0 IPS |
|
|
Text Classification (HP)
|
100% |
237
316.9 IPS |
|
|
Text Classification (Q)
|
91% |
441
593.1 IPS |
|
|
Machine Translation (SP)
|
100% |
402
6.93 IPS |
|
|
Machine Translation (HP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (Q)
|
57% |
351
8.57 IPS |
