samsung SM-S711B
Geekbench AI Score
1106
Single Precision Score
1246
Half Precision Score
1204
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 04 2024 10:26 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
791
147.1 IPS |
|
|
Image Classification (HP)
|
100% |
664
123.5 IPS |
|
|
Image Classification (Q)
|
99% |
421
78.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1237
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1973
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2630
3.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
2748
3.22 IPS |
|
|
Object Detection (SP)
|
100% |
519
41.2 IPS |
|
|
Object Detection (HP)
|
100% |
515
40.9 IPS |
|
|
Object Detection (Q)
|
86% |
427
34.3 IPS |
|
|
Face Detection (SP)
|
100% |
1912
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
1888
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
1819
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2108
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2635
20.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2198
20.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6097
7.84 IPS |
|
|
Style Transfer (HP)
|
100% |
8789
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8858
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1116
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1379
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1486
55.1 IPS |
|
|
Text Classification (SP)
|
100% |
257
342.9 IPS |
|
|
Text Classification (HP)
|
100% |
263
350.6 IPS |
|
|
Text Classification (Q)
|
91% |
493
662.1 IPS |
|
|
Machine Translation (SP)
|
100% |
425
7.32 IPS |
|
|
Machine Translation (HP)
|
100% |
429
7.38 IPS |
|
|
Machine Translation (Q)
|
57% |
407
9.94 IPS |
