samsung SM-S721B
Geekbench AI Score
2495
Single Precision Score
2500
Half Precision Score
3897
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | October 26 2025 06:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
2188
406.9 IPS |
|
|
Image Classification (HP)
|
100% |
2118
393.9 IPS |
|
|
Image Classification (Q)
|
100% |
3046
566.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2078
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2304
37.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3840
62.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3537
4.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
3497
4.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
8388
9.95 IPS |
|
|
Object Detection (SP)
|
98% |
1904
151.5 IPS |
|
|
Object Detection (HP)
|
98% |
1909
151.9 IPS |
|
|
Object Detection (Q)
|
83% |
2635
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
3757
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
3804
45.2 IPS |
|
|
Face Detection (Q)
|
95% |
6591
78.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3597
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3492
27.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
6337
58.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8608
11.2 IPS |
|
|
Style Transfer (HP)
|
89% |
9147
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18041
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2015
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1903
70.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4488
166.3 IPS |
|
|
Text Classification (SP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (HP)
|
99% |
808
1.08 KIPS |
|
|
Text Classification (Q)
|
88% |
1166
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1618
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1567
27.0 IPS |
|
|
Machine Translation (Q)
|
50% |
794
28.2 IPS |
