samsung SM-S721B
Geekbench AI Score
1983
Single Precision Score
1976
Half Precision Score
2840
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:53 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% |
1682
312.8 IPS |
|
|
Image Classification (HP)
|
100% |
2063
383.7 IPS |
|
|
Image Classification (Q)
|
100% |
3111
578.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2247
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2304
37.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3092
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3187
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2919
3.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
6052
7.18 IPS |
|
|
Object Detection (SP)
|
98% |
1266
100.7 IPS |
|
|
Object Detection (HP)
|
98% |
1442
114.7 IPS |
|
|
Object Detection (Q)
|
83% |
1763
142.4 IPS |
|
|
Face Detection (SP)
|
100% |
2915
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
2922
34.7 IPS |
|
|
Face Detection (Q)
|
95% |
4104
49.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2818
21.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2791
21.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4221
38.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7064
9.17 IPS |
|
|
Style Transfer (HP)
|
89% |
7076
9.19 IPS |
|
|
Style Transfer (Q)
|
98% |
12541
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1497
55.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3043
112.8 IPS |
|
|
Text Classification (SP)
|
100% |
511
682.4 IPS |
|
|
Text Classification (HP)
|
99% |
524
699.6 IPS |
|
|
Text Classification (Q)
|
88% |
863
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1346
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1007
17.4 IPS |
|
|
Machine Translation (Q)
|
50% |
584
20.7 IPS |
