samsung SM-S721B
Geekbench AI Score
294
Single Precision Score
316
Half Precision Score
951
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 30 2025 10:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
290
53.9 IPS |
|
|
Image Classification (HP)
|
100% |
280
52.0 IPS |
|
|
Image Classification (Q)
|
99% |
739
137.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
811
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
755
12.3 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
1901
2.23 IPS |
|
|
Object Detection (SP)
|
100% |
253
20.1 IPS |
|
|
Object Detection (HP)
|
100% |
264
20.9 IPS |
|
|
Object Detection (Q)
|
87% |
773
62.0 IPS |
|
|
Face Detection (SP)
|
100% |
626
7.44 IPS |
|
|
Face Detection (HP)
|
100% |
628
7.46 IPS |
|
|
Face Detection (Q)
|
97% |
1549
18.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
546
4.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
555
4.27 IPS |
|
|
Depth Estimation (Q)
|
64% |
1398
12.7 IPS |
|
|
Style Transfer (SP)
|
100% |
861
1.11 IPS |
|
|
Style Transfer (HP)
|
100% |
752
0.97 IPS |
|
|
Style Transfer (Q)
|
98% |
1734
2.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1469
54.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1658
61.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
805
29.8 IPS |
|
|
Text Classification (SP)
|
100% |
332
443.4 IPS |
|
|
Text Classification (HP)
|
100% |
332
443.7 IPS |
|
|
Text Classification (Q)
|
91% |
520
699.4 IPS |
|
|
Machine Translation (SP)
|
100% |
574
9.89 IPS |
|
|
Machine Translation (HP)
|
100% |
579
9.98 IPS |
|
|
Machine Translation (Q)
|
57% |
470
11.5 IPS |
