samsung SM-S711B
Geekbench AI Score
959
Single Precision Score
1792
Half Precision Score
1477
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 21 2025 08:10 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
509
94.7 IPS |
|
|
Image Classification (HP)
|
100% |
921
171.4 IPS |
|
|
Image Classification (Q)
|
100% |
836
155.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2020
32.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1640
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4459
5.20 IPS |
|
|
Pose Estimation (HP)
|
99% |
8937
10.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
8801
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (HP)
|
99% |
663
52.6 IPS |
|
|
Object Detection (Q)
|
85% |
660
53.2 IPS |
|
|
Face Detection (SP)
|
100% |
2137
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
4096
48.7 IPS |
|
|
Face Detection (Q)
|
97% |
2869
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2577
19.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4514
34.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
3366
33.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8594
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15497
19.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15347
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1399
51.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2376
87.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2368
87.8 IPS |
|
|
Text Classification (SP)
|
29% |
20
344.8 IPS |
|
|
Text Classification (HP)
|
35% |
53
482.8 IPS |
|
|
Text Classification (Q)
|
33% |
60
666.4 IPS |
|
|
Machine Translation (SP)
|
100% |
590
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (Q)
|
48% |
296
11.3 IPS |
