samsung SM-S711U
Geekbench AI Score
649
Single Precision Score
880
Half Precision Score
876
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Sparrowxq5 |
| Upload Date | May 29 2025 06:21 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
506
94.2 IPS |
|
|
Image Classification (HP)
|
100% |
847
157.5 IPS |
|
|
Image Classification (Q)
|
97% |
652
121.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
726
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
674
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
702
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1228
1.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
1123
1.32 IPS |
|
|
Object Detection (SP)
|
100% |
318
25.3 IPS |
|
|
Object Detection (HP)
|
100% |
531
42.1 IPS |
|
|
Object Detection (Q)
|
89% |
524
41.9 IPS |
|
|
Face Detection (SP)
|
100% |
1504
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1564
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
1904
22.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1075
8.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
2466
19.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1894
17.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2608
3.35 IPS |
|
|
Style Transfer (HP)
|
100% |
4435
5.70 IPS |
|
|
Style Transfer (Q)
|
98% |
4461
5.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
328
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
452
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
453
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
231
308.6 IPS |
|
|
Text Classification (HP)
|
100% |
232
309.4 IPS |
|
|
Text Classification (Q)
|
91% |
417
560.0 IPS |
|
|
Machine Translation (SP)
|
100% |
398
6.86 IPS |
|
|
Machine Translation (HP)
|
100% |
389
6.71 IPS |
|
|
Machine Translation (Q)
|
57% |
342
8.35 IPS |
