samsung SM-S711U
Geekbench AI Score
1728
Single Precision Score
1711
Half Precision Score
2501
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 27 2025 12:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S711U |
| Model ID | samsung SM-S711U |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1320
245.5 IPS |
|
|
Image Classification (HP)
|
100% |
1418
263.7 IPS |
|
|
Image Classification (Q)
|
100% |
2083
387.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2311
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2553
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2415
2.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
4955
5.88 IPS |
|
|
Object Detection (SP)
|
98% |
1352
107.6 IPS |
|
|
Object Detection (HP)
|
98% |
1312
104.4 IPS |
|
|
Object Detection (Q)
|
83% |
1719
138.8 IPS |
|
|
Face Detection (SP)
|
100% |
2432
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
2490
29.6 IPS |
|
|
Face Detection (Q)
|
95% |
4089
48.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2911
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2879
22.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4347
39.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5789
7.52 IPS |
|
|
Style Transfer (HP)
|
89% |
5525
7.17 IPS |
|
|
Style Transfer (Q)
|
98% |
10508
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1279
47.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1295
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2616
96.9 IPS |
|
|
Text Classification (SP)
|
100% |
506
675.8 IPS |
|
|
Text Classification (HP)
|
99% |
501
668.3 IPS |
|
|
Text Classification (Q)
|
88% |
976
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1227
21.1 IPS |
|
|
Machine Translation (Q)
|
50% |
490
17.4 IPS |
