samsung SM-S711N
Geekbench AI Score
1429
Single Precision Score
1365
Half Precision Score
2106
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 04:58 PM |
| Views | 1 |
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% |
1305
242.7 IPS |
|
|
Image Classification (HP)
|
100% |
1332
247.6 IPS |
|
|
Image Classification (Q)
|
100% |
2071
385.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2267
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2532
2.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2017
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
3699
4.39 IPS |
|
|
Object Detection (SP)
|
98% |
931
74.1 IPS |
|
|
Object Detection (HP)
|
98% |
930
74.0 IPS |
|
|
Object Detection (Q)
|
83% |
1249
100.9 IPS |
|
|
Face Detection (SP)
|
100% |
1899
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
1902
22.6 IPS |
|
|
Face Detection (Q)
|
95% |
3194
38.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2007
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2038
15.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3247
29.7 IPS |
|
|
Style Transfer (SP)
|
89% |
4767
6.19 IPS |
|
|
Style Transfer (HP)
|
89% |
4764
6.18 IPS |
|
|
Style Transfer (Q)
|
98% |
8742
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1116
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2207
81.8 IPS |
|
|
Text Classification (SP)
|
100% |
459
612.1 IPS |
|
|
Text Classification (HP)
|
99% |
436
581.8 IPS |
|
|
Text Classification (Q)
|
88% |
824
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
897
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (Q)
|
50% |
480
17.1 IPS |
