samsung SM-S711B
Geekbench AI Score
1479
Single Precision Score
1511
Half Precision Score
2376
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 12:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1294
240.7 IPS |
|
|
Image Classification (HP)
|
100% |
1241
230.9 IPS |
|
|
Image Classification (Q)
|
100% |
2084
387.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2255
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2484
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2268
2.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
4923
5.84 IPS |
|
|
Object Detection (SP)
|
98% |
979
77.9 IPS |
|
|
Object Detection (HP)
|
98% |
981
78.1 IPS |
|
|
Object Detection (Q)
|
83% |
1311
105.9 IPS |
|
|
Face Detection (SP)
|
100% |
1985
23.6 IPS |
|
|
Face Detection (HP)
|
100% |
1980
23.5 IPS |
|
|
Face Detection (Q)
|
95% |
3610
43.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2375
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2434
18.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3925
36.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4930
6.40 IPS |
|
|
Style Transfer (HP)
|
89% |
5114
6.64 IPS |
|
|
Style Transfer (Q)
|
98% |
10137
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1184
43.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1148
42.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2368
87.7 IPS |
|
|
Text Classification (SP)
|
100% |
450
600.6 IPS |
|
|
Text Classification (HP)
|
99% |
506
675.7 IPS |
|
|
Text Classification (Q)
|
88% |
919
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
954
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1164
20.1 IPS |
|
|
Machine Translation (Q)
|
50% |
605
21.5 IPS |
