samsung SM-S721B
Geekbench AI Score
1313
Single Precision Score
2422
Half Precision Score
1828
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 14 2025 02:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S721B |
| Model ID | samsung SM-S721B |
| 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% |
770
143.1 IPS |
|
|
Image Classification (HP)
|
100% |
1332
247.7 IPS |
|
|
Image Classification (Q)
|
100% |
1216
226.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2460
39.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2277
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6163
7.19 IPS |
|
|
Pose Estimation (HP)
|
99% |
12545
14.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12842
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
603
47.9 IPS |
|
|
Object Detection (HP)
|
99% |
1037
82.2 IPS |
|
|
Object Detection (Q)
|
84% |
949
76.6 IPS |
|
|
Face Detection (SP)
|
100% |
2787
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
5018
59.6 IPS |
|
|
Face Detection (Q)
|
97% |
4309
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3721
28.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
6576
50.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
4999
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13213
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23698
30.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23940
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1778
65.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3182
117.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3568
132.2 IPS |
|
|
Text Classification (SP)
|
29% |
22
372.2 IPS |
|
|
Text Classification (HP)
|
35% |
66
604.2 IPS |
|
|
Text Classification (Q)
|
30% |
35
557.0 IPS |
|
|
Machine Translation (SP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (Q)
|
42% |
192
12.5 IPS |
