samsung SM-S711B
Geekbench AI Score
1624
Single Precision Score
1610
Half Precision Score
2360
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 09:26 AM |
| Views | 4 |
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% |
1409
262.1 IPS |
|
|
Image Classification (HP)
|
100% |
1352
251.4 IPS |
|
|
Image Classification (Q)
|
100% |
1891
351.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1370
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2057
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2650
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2532
2.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
5429
6.44 IPS |
|
|
Object Detection (SP)
|
98% |
1223
97.4 IPS |
|
|
Object Detection (HP)
|
98% |
1155
91.9 IPS |
|
|
Object Detection (Q)
|
83% |
1728
139.6 IPS |
|
|
Face Detection (SP)
|
100% |
2311
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
2267
26.9 IPS |
|
|
Face Detection (Q)
|
95% |
3774
45.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2711
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2571
19.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3804
34.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5196
6.74 IPS |
|
|
Style Transfer (HP)
|
89% |
5207
6.76 IPS |
|
|
Style Transfer (Q)
|
98% |
9689
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1169
43.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1330
49.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2397
88.8 IPS |
|
|
Text Classification (SP)
|
100% |
453
604.1 IPS |
|
|
Text Classification (HP)
|
99% |
472
630.6 IPS |
|
|
Text Classification (Q)
|
88% |
808
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1140
19.6 IPS |
|
|
Machine Translation (Q)
|
50% |
547
19.4 IPS |
