samsung SM-S711B
Geekbench AI Score
1649
Single Precision Score
1639
Half Precision Score
2703
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 03 2025 06:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1283
238.7 IPS |
|
|
Image Classification (HP)
|
100% |
1238
230.2 IPS |
|
|
Image Classification (Q)
|
100% |
2139
397.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1323
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2298
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2485
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2436
2.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
5270
6.25 IPS |
|
|
Object Detection (SP)
|
98% |
1211
96.4 IPS |
|
|
Object Detection (HP)
|
98% |
1220
97.1 IPS |
|
|
Object Detection (Q)
|
83% |
1905
153.9 IPS |
|
|
Face Detection (SP)
|
100% |
2170
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2163
25.7 IPS |
|
|
Face Detection (Q)
|
95% |
4359
52.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2562
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2548
19.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4354
39.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5522
7.17 IPS |
|
|
Style Transfer (HP)
|
89% |
5487
7.12 IPS |
|
|
Style Transfer (Q)
|
98% |
11298
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1283
47.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1294
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2967
109.9 IPS |
|
|
Text Classification (SP)
|
100% |
590
788.1 IPS |
|
|
Text Classification (HP)
|
99% |
594
792.5 IPS |
|
|
Text Classification (Q)
|
88% |
1124
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1267
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (Q)
|
50% |
590
20.9 IPS |
