samsung SM-S721U1
Geekbench AI Score
2338
Single Precision Score
2431
Half Precision Score
3901
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 23 2025 09:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S721U1 |
| Model ID | samsung SM-S721U1 |
| Motherboard | s5e9945 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 3 Cores @ 2.59 GHz |
| Cluster 3 | 2 Cores @ 2.90 GHz |
| Cluster 4 | 1 Core @ 3.11 GHz |
| Memory Information | |
|---|---|
| Size | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1828
339.9 IPS |
|
|
Image Classification (HP)
|
100% |
2099
390.4 IPS |
|
|
Image Classification (Q)
|
100% |
3267
607.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3869
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2522
2.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
3019
3.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
7437
8.82 IPS |
|
|
Object Detection (SP)
|
98% |
1675
133.3 IPS |
|
|
Object Detection (HP)
|
98% |
1852
147.4 IPS |
|
|
Object Detection (Q)
|
83% |
2546
205.6 IPS |
|
|
Face Detection (SP)
|
100% |
3766
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
3827
45.5 IPS |
|
|
Face Detection (Q)
|
95% |
6646
79.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3072
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3095
23.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5810
53.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9064
11.8 IPS |
|
|
Style Transfer (HP)
|
89% |
9417
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18788
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1920
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1969
72.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4541
168.3 IPS |
|
|
Text Classification (SP)
|
100% |
810
1.08 KIPS |
|
|
Text Classification (HP)
|
99% |
805
1.07 KIPS |
|
|
Text Classification (Q)
|
88% |
1259
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1632
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1601
27.6 IPS |
|
|
Machine Translation (Q)
|
50% |
823
29.2 IPS |
