samsung SM-S711U1
Geekbench AI Score
1459
Single Precision Score
1514
Half Precision Score
2074
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | klcs1998 |
| Upload Date | September 06 2025 05:37 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S711U1 |
| Model ID | samsung SM-S711U1 |
| 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% |
1370
254.7 IPS |
|
|
Image Classification (HP)
|
100% |
1461
271.7 IPS |
|
|
Image Classification (Q)
|
100% |
2090
388.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1996
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1605
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2158
2.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
4423
5.25 IPS |
|
|
Object Detection (SP)
|
98% |
1124
89.4 IPS |
|
|
Object Detection (HP)
|
98% |
1124
89.4 IPS |
|
|
Object Detection (Q)
|
83% |
1494
120.7 IPS |
|
|
Face Detection (SP)
|
100% |
2132
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
2131
25.3 IPS |
|
|
Face Detection (Q)
|
95% |
2733
32.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2430
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2421
18.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3527
32.3 IPS |
|
|
Style Transfer (SP)
|
89% |
4884
6.34 IPS |
|
|
Style Transfer (HP)
|
89% |
4569
5.93 IPS |
|
|
Style Transfer (Q)
|
98% |
8129
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1035
38.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1103
40.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2061
76.4 IPS |
|
|
Text Classification (SP)
|
100% |
420
560.8 IPS |
|
|
Text Classification (HP)
|
99% |
419
558.8 IPS |
|
|
Text Classification (Q)
|
88% |
728
981.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1093
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (Q)
|
50% |
456
16.2 IPS |
