samsung SM-S711B
Geekbench AI Score
1627
Single Precision Score
1657
Half Precision Score
2544
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 21 2025 08:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1341
249.5 IPS |
|
|
Image Classification (HP)
|
100% |
1393
259.0 IPS |
|
|
Image Classification (Q)
|
100% |
2205
410.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2306
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2602
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2572
3.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
5315
6.30 IPS |
|
|
Object Detection (SP)
|
98% |
1213
96.5 IPS |
|
|
Object Detection (HP)
|
98% |
1240
98.7 IPS |
|
|
Object Detection (Q)
|
83% |
1659
134.0 IPS |
|
|
Face Detection (SP)
|
100% |
2159
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2196
26.1 IPS |
|
|
Face Detection (Q)
|
95% |
3859
46.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2749
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2744
21.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4336
39.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5711
7.41 IPS |
|
|
Style Transfer (HP)
|
89% |
5496
7.13 IPS |
|
|
Style Transfer (Q)
|
98% |
9924
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1073
39.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1098
40.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2509
93.0 IPS |
|
|
Text Classification (SP)
|
100% |
467
622.8 IPS |
|
|
Text Classification (HP)
|
99% |
507
677.0 IPS |
|
|
Text Classification (Q)
|
88% |
996
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1340
23.1 IPS |
|
|
Machine Translation (Q)
|
50% |
611
21.7 IPS |
