samsung SM-S721B
Geekbench AI Score
277
Single Precision Score
297
Half Precision Score
954
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 04:56 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% |
268
49.8 IPS |
|
|
Image Classification (HP)
|
100% |
247
46.0 IPS |
|
|
Image Classification (Q)
|
99% |
685
127.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
788
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
689
11.2 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
1629
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
87% |
708
56.8 IPS |
|
|
Face Detection (SP)
|
100% |
557
6.62 IPS |
|
|
Face Detection (HP)
|
100% |
580
6.89 IPS |
|
|
Face Detection (Q)
|
97% |
1420
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
489
3.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
560
4.31 IPS |
|
|
Depth Estimation (Q)
|
64% |
1291
11.7 IPS |
|
|
Style Transfer (SP)
|
100% |
775
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
785
1.01 IPS |
|
|
Style Transfer (Q)
|
98% |
2025
2.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1262
46.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1363
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1002
37.1 IPS |
|
|
Text Classification (SP)
|
100% |
364
486.5 IPS |
|
|
Text Classification (HP)
|
100% |
396
528.8 IPS |
|
|
Text Classification (Q)
|
91% |
653
878.2 IPS |
|
|
Machine Translation (SP)
|
100% |
564
9.71 IPS |
|
|
Machine Translation (HP)
|
100% |
539
9.28 IPS |
|
|
Machine Translation (Q)
|
57% |
477
11.7 IPS |
