samsung SM-S711B
Geekbench AI Score
289
Single Precision Score
288
Half Precision Score
717
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Namelessmint |
| Upload Date | January 17 2025 12:00 AM |
| Views | 2 |
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% |
175
32.6 IPS |
|
|
Image Classification (HP)
|
100% |
175
32.6 IPS |
|
|
Image Classification (Q)
|
99% |
507
94.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
225
3.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
226
3.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
536
8.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
300
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
292
0.34 IPS |
|
|
Pose Estimation (Q)
|
98% |
1238
1.45 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (Q)
|
87% |
529
42.4 IPS |
|
|
Face Detection (SP)
|
100% |
452
5.37 IPS |
|
|
Face Detection (HP)
|
100% |
454
5.39 IPS |
|
|
Face Detection (Q)
|
97% |
1118
13.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
372
2.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
370
2.85 IPS |
|
|
Depth Estimation (Q)
|
64% |
902
8.19 IPS |
|
|
Style Transfer (SP)
|
100% |
653
0.84 IPS |
|
|
Style Transfer (HP)
|
100% |
652
0.84 IPS |
|
|
Style Transfer (Q)
|
98% |
1663
2.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
191
7.06 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
191
7.05 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
719
26.6 IPS |
|
|
Text Classification (SP)
|
100% |
238
317.3 IPS |
|
|
Text Classification (HP)
|
100% |
238
317.6 IPS |
|
|
Text Classification (Q)
|
91% |
459
616.4 IPS |
|
|
Machine Translation (SP)
|
100% |
411
7.08 IPS |
|
|
Machine Translation (HP)
|
100% |
408
7.03 IPS |
|
|
Machine Translation (Q)
|
57% |
369
9.01 IPS |
