samsung SM-S721B
Geekbench AI Score
1985
Single Precision Score
2012
Half Precision Score
2854
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:56 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% |
1685
313.5 IPS |
|
|
Image Classification (HP)
|
100% |
2067
384.5 IPS |
|
|
Image Classification (Q)
|
100% |
3129
581.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2216
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2061
33.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3458
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3030
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3111
3.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
5981
7.09 IPS |
|
|
Object Detection (SP)
|
98% |
1265
100.7 IPS |
|
|
Object Detection (HP)
|
98% |
1268
100.9 IPS |
|
|
Object Detection (Q)
|
83% |
1929
155.8 IPS |
|
|
Face Detection (SP)
|
100% |
3026
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
2913
34.6 IPS |
|
|
Face Detection (Q)
|
95% |
4104
49.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2875
22.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2892
22.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4213
38.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7056
9.16 IPS |
|
|
Style Transfer (HP)
|
89% |
7057
9.16 IPS |
|
|
Style Transfer (Q)
|
98% |
12417
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1537
56.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1479
54.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3040
112.7 IPS |
|
|
Text Classification (SP)
|
100% |
523
698.4 IPS |
|
|
Text Classification (HP)
|
99% |
552
736.9 IPS |
|
|
Text Classification (Q)
|
88% |
782
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1346
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1336
23.0 IPS |
|
|
Machine Translation (Q)
|
50% |
564
20.0 IPS |
