samsung SM-S721B
Geekbench AI Score
1815
Single Precision Score
1756
Half Precision Score
2726
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 11:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1588
295.4 IPS |
|
|
Image Classification (HP)
|
100% |
545
101.4 IPS |
|
|
Image Classification (Q)
|
100% |
1438
267.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1797
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2750
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2836
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2794
3.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
6468
7.67 IPS |
|
|
Object Detection (SP)
|
98% |
1545
123.0 IPS |
|
|
Object Detection (HP)
|
98% |
1367
108.7 IPS |
|
|
Object Detection (Q)
|
83% |
2103
169.9 IPS |
|
|
Face Detection (SP)
|
100% |
3050
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
3142
37.3 IPS |
|
|
Face Detection (Q)
|
95% |
5482
65.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2172
16.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2984
23.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4334
39.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7101
9.22 IPS |
|
|
Style Transfer (HP)
|
89% |
7112
9.23 IPS |
|
|
Style Transfer (Q)
|
98% |
12737
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1480
54.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1505
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3063
113.5 IPS |
|
|
Text Classification (SP)
|
100% |
526
702.5 IPS |
|
|
Text Classification (HP)
|
99% |
554
739.3 IPS |
|
|
Text Classification (Q)
|
88% |
771
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1126
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1346
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
590
20.9 IPS |
