samsung SM-S721N
Geekbench AI Score
2338
Single Precision Score
2295
Half Precision Score
3696
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 31 2025 07:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S721N |
| Model ID | samsung SM-S721N |
| 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% |
1727
321.2 IPS |
|
|
Image Classification (HP)
|
100% |
2018
375.2 IPS |
|
|
Image Classification (Q)
|
100% |
3058
568.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3679
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3556
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3525
4.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
7775
9.22 IPS |
|
|
Object Detection (SP)
|
98% |
1660
132.1 IPS |
|
|
Object Detection (HP)
|
98% |
1782
141.8 IPS |
|
|
Object Detection (Q)
|
83% |
2641
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
3558
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
3609
42.9 IPS |
|
|
Face Detection (Q)
|
95% |
6339
75.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3198
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2828
21.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5639
51.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8745
11.4 IPS |
|
|
Style Transfer (HP)
|
89% |
6229
8.09 IPS |
|
|
Style Transfer (Q)
|
98% |
15626
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1876
69.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1891
69.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4431
164.2 IPS |
|
|
Text Classification (SP)
|
100% |
803
1.07 KIPS |
|
|
Text Classification (HP)
|
99% |
808
1.08 KIPS |
|
|
Text Classification (Q)
|
88% |
1228
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1472
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1522
26.2 IPS |
|
|
Machine Translation (Q)
|
50% |
679
24.1 IPS |
