samsung SM-S711N
Geekbench AI Score
1374
Single Precision Score
1333
Half Precision Score
2113
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 05:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S711N |
| Model ID | samsung SM-S711N |
| 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% |
1182
219.8 IPS |
|
|
Image Classification (HP)
|
100% |
1216
226.1 IPS |
|
|
Image Classification (Q)
|
100% |
2076
386.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
947
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1754
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2032
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1989
2.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
4334
5.14 IPS |
|
|
Object Detection (SP)
|
98% |
926
73.7 IPS |
|
|
Object Detection (HP)
|
98% |
930
74.0 IPS |
|
|
Object Detection (Q)
|
83% |
1245
100.6 IPS |
|
|
Face Detection (SP)
|
100% |
1879
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
1893
22.5 IPS |
|
|
Face Detection (Q)
|
95% |
3249
38.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2263
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2276
17.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3576
32.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4738
6.15 IPS |
|
|
Style Transfer (HP)
|
89% |
4773
6.20 IPS |
|
|
Style Transfer (Q)
|
98% |
9056
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1111
41.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1088
40.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2327
86.2 IPS |
|
|
Text Classification (SP)
|
100% |
426
569.1 IPS |
|
|
Text Classification (HP)
|
99% |
444
593.0 IPS |
|
|
Text Classification (Q)
|
88% |
828
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
843
14.5 IPS |
|
|
Machine Translation (Q)
|
50% |
447
15.9 IPS |
