samsung SM-S711N
Geekbench AI Score
1608
Single Precision Score
1608
Half Precision Score
2519
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 11:14 AM |
| 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% |
1443
268.4 IPS |
|
|
Image Classification (HP)
|
100% |
1416
263.4 IPS |
|
|
Image Classification (Q)
|
100% |
2216
412.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2281
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2598
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2608
3.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
5337
6.33 IPS |
|
|
Object Detection (SP)
|
98% |
1287
102.4 IPS |
|
|
Object Detection (HP)
|
98% |
1149
91.4 IPS |
|
|
Object Detection (Q)
|
83% |
1650
133.3 IPS |
|
|
Face Detection (SP)
|
100% |
2175
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2143
25.5 IPS |
|
|
Face Detection (Q)
|
95% |
3530
42.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2505
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2655
20.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4219
38.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5520
7.17 IPS |
|
|
Style Transfer (HP)
|
89% |
5523
7.17 IPS |
|
|
Style Transfer (Q)
|
98% |
11171
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1186
43.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1171
43.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2488
92.2 IPS |
|
|
Text Classification (SP)
|
100% |
472
630.4 IPS |
|
|
Text Classification (HP)
|
99% |
447
596.9 IPS |
|
|
Text Classification (Q)
|
88% |
922
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1204
20.7 IPS |
|
|
Machine Translation (Q)
|
50% |
607
21.6 IPS |
