samsung SM-S721B
Geekbench AI Score
273
Single Precision Score
282
Half Precision Score
874
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 04:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
267
49.7 IPS |
|
|
Image Classification (HP)
|
100% |
251
46.7 IPS |
|
|
Image Classification (Q)
|
99% |
683
127.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
813
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
718
11.7 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
1737
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
245
19.4 IPS |
|
|
Object Detection (HP)
|
100% |
249
19.7 IPS |
|
|
Object Detection (Q)
|
87% |
700
56.2 IPS |
|
|
Face Detection (SP)
|
100% |
575
6.83 IPS |
|
|
Face Detection (HP)
|
100% |
581
6.90 IPS |
|
|
Face Detection (Q)
|
97% |
1298
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
509
3.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
454
3.49 IPS |
|
|
Depth Estimation (Q)
|
64% |
997
9.05 IPS |
|
|
Style Transfer (SP)
|
100% |
739
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
735
0.95 IPS |
|
|
Style Transfer (Q)
|
98% |
1713
2.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1110
41.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1167
43.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
876
32.5 IPS |
|
|
Text Classification (SP)
|
100% |
330
440.8 IPS |
|
|
Text Classification (HP)
|
100% |
331
442.0 IPS |
|
|
Text Classification (Q)
|
91% |
520
698.6 IPS |
|
|
Machine Translation (SP)
|
100% |
555
9.55 IPS |
|
|
Machine Translation (HP)
|
100% |
545
9.39 IPS |
|
|
Machine Translation (Q)
|
57% |
436
10.6 IPS |
