samsung SM-S711B
Geekbench AI Score
1031
Single Precision Score
1178
Half Precision Score
1171
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Namelessmint |
| Upload Date | February 12 2025 02:39 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
435
80.8 IPS |
|
|
Image Classification (HP)
|
100% |
435
80.8 IPS |
|
|
Image Classification (Q)
|
99% |
369
68.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1125
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1372
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1933
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
2594
3.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
2729
3.20 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.1 IPS |
|
|
Object Detection (HP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (Q)
|
86% |
390
31.4 IPS |
|
|
Face Detection (SP)
|
100% |
1803
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
1899
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
1790
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2107
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2612
20.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2155
20.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6046
7.77 IPS |
|
|
Style Transfer (HP)
|
100% |
8483
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
8602
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1047
38.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1365
50.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1366
50.6 IPS |
|
|
Text Classification (SP)
|
100% |
259
346.3 IPS |
|
|
Text Classification (HP)
|
100% |
264
351.9 IPS |
|
|
Text Classification (Q)
|
91% |
492
661.2 IPS |
|
|
Machine Translation (SP)
|
100% |
424
7.30 IPS |
|
|
Machine Translation (HP)
|
100% |
420
7.23 IPS |
|
|
Machine Translation (Q)
|
57% |
405
9.91 IPS |
