samsung SM-S711B
Geekbench AI Score
1566
Single Precision Score
1493
Half Precision Score
2333
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2025 09:58 AM |
| Views | 3 |
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% |
1343
249.8 IPS |
|
|
Image Classification (HP)
|
100% |
1417
263.4 IPS |
|
|
Image Classification (Q)
|
100% |
2159
401.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1379
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2383
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2541
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2121
2.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
3855
4.57 IPS |
|
|
Object Detection (SP)
|
98% |
975
77.6 IPS |
|
|
Object Detection (HP)
|
98% |
994
79.1 IPS |
|
|
Object Detection (Q)
|
83% |
1446
116.8 IPS |
|
|
Face Detection (SP)
|
100% |
2180
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
2180
25.9 IPS |
|
|
Face Detection (Q)
|
95% |
3850
46.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2560
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2154
16.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3625
33.2 IPS |
|
|
Style Transfer (SP)
|
89% |
5156
6.69 IPS |
|
|
Style Transfer (HP)
|
89% |
5161
6.70 IPS |
|
|
Style Transfer (Q)
|
98% |
8716
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1184
43.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1040
38.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2345
86.9 IPS |
|
|
Text Classification (SP)
|
100% |
462
617.1 IPS |
|
|
Text Classification (HP)
|
99% |
436
582.2 IPS |
|
|
Text Classification (Q)
|
88% |
1028
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1234
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1199
20.6 IPS |
|
|
Machine Translation (Q)
|
50% |
569
20.2 IPS |
