samsung SM-S721B
Geekbench AI Score
308
Single Precision Score
330
Half Precision Score
1058
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | harsidh |
| Upload Date | September 26 2025 05:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
291
54.1 IPS |
|
|
Image Classification (HP)
|
100% |
277
51.5 IPS |
|
|
Image Classification (Q)
|
99% |
741
138.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
762
12.4 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
1941
2.27 IPS |
|
|
Object Detection (SP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (HP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (Q)
|
87% |
827
66.3 IPS |
|
|
Face Detection (SP)
|
100% |
629
7.47 IPS |
|
|
Face Detection (HP)
|
100% |
636
7.56 IPS |
|
|
Face Detection (Q)
|
97% |
1607
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
543
4.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
588
4.53 IPS |
|
|
Depth Estimation (Q)
|
64% |
1378
12.5 IPS |
|
|
Style Transfer (SP)
|
100% |
906
1.17 IPS |
|
|
Style Transfer (HP)
|
100% |
914
1.18 IPS |
|
|
Style Transfer (Q)
|
98% |
2181
2.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1475
54.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1685
62.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1070
39.7 IPS |
|
|
Text Classification (SP)
|
100% |
404
539.3 IPS |
|
|
Text Classification (HP)
|
100% |
423
564.4 IPS |
|
|
Text Classification (Q)
|
91% |
711
956.3 IPS |
|
|
Machine Translation (SP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (Q)
|
57% |
531
13.0 IPS |
