samsung SM-S711B
Geekbench AI Score
1071
Single Precision Score
1979
Half Precision Score
1512
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 09:31 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
669
124.4 IPS |
|
|
Image Classification (HP)
|
100% |
1257
233.8 IPS |
|
|
Image Classification (Q)
|
100% |
1191
221.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1880
30.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1368
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4445
5.19 IPS |
|
|
Pose Estimation (HP)
|
99% |
9098
10.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
8848
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (HP)
|
99% |
848
67.2 IPS |
|
|
Object Detection (Q)
|
85% |
646
52.0 IPS |
|
|
Face Detection (SP)
|
100% |
2158
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
3776
44.9 IPS |
|
|
Face Detection (Q)
|
97% |
3693
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2590
20.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4602
35.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
3450
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8909
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15794
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
15559
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1425
52.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2536
93.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2510
93.0 IPS |
|
|
Text Classification (SP)
|
29% |
36
623.7 IPS |
|
|
Text Classification (HP)
|
35% |
74
677.1 IPS |
|
|
Text Classification (Q)
|
33% |
45
504.4 IPS |
|
|
Machine Translation (SP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (Q)
|
48% |
300
11.5 IPS |
