samsung SM-S711B
Geekbench AI Score
993
Single Precision Score
1125
Half Precision Score
1126
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 17 2025 03:32 PM |
| Views | 1 |
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% |
375
69.8 IPS |
|
|
Image Classification (HP)
|
100% |
435
80.9 IPS |
|
|
Image Classification (Q)
|
99% |
354
66.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1104
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1453
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1245
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1924
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2525
2.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
2571
3.01 IPS |
|
|
Object Detection (SP)
|
100% |
528
41.9 IPS |
|
|
Object Detection (HP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (Q)
|
86% |
426
34.3 IPS |
|
|
Face Detection (SP)
|
100% |
1958
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
1823
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
1837
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2094
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2609
20.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2173
20.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6042
7.77 IPS |
|
|
Style Transfer (HP)
|
100% |
8495
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
8303
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
873
32.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1174
43.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1102
40.8 IPS |
|
|
Text Classification (SP)
|
100% |
253
338.3 IPS |
|
|
Text Classification (HP)
|
100% |
253
337.2 IPS |
|
|
Text Classification (Q)
|
91% |
485
651.6 IPS |
|
|
Machine Translation (SP)
|
100% |
408
7.03 IPS |
|
|
Machine Translation (HP)
|
100% |
407
7.01 IPS |
|
|
Machine Translation (Q)
|
57% |
385
9.41 IPS |
