samsung SM-S721B
Geekbench AI Score
307
Single Precision Score
328
Half Precision Score
1025
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | eldavido |
| Upload Date | December 22 2024 02:24 PM |
| Views | 12 |
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% |
296
55.1 IPS |
|
|
Image Classification (HP)
|
100% |
279
51.8 IPS |
|
|
Image Classification (Q)
|
99% |
735
137.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
923
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1590
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
765
12.4 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
1945
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.8 IPS |
|
|
Object Detection (HP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (Q)
|
87% |
841
67.5 IPS |
|
|
Face Detection (SP)
|
100% |
668
7.94 IPS |
|
|
Face Detection (HP)
|
100% |
654
7.77 IPS |
|
|
Face Detection (Q)
|
97% |
1577
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
546
4.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
561
4.32 IPS |
|
|
Depth Estimation (Q)
|
64% |
1550
14.1 IPS |
|
|
Style Transfer (SP)
|
100% |
890
1.14 IPS |
|
|
Style Transfer (HP)
|
100% |
895
1.15 IPS |
|
|
Style Transfer (Q)
|
98% |
2233
2.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1517
56.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1721
63.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
956
35.4 IPS |
|
|
Text Classification (SP)
|
100% |
361
482.3 IPS |
|
|
Text Classification (HP)
|
100% |
362
483.7 IPS |
|
|
Text Classification (Q)
|
91% |
565
760.0 IPS |
|
|
Machine Translation (SP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
601
10.4 IPS |
|
|
Machine Translation (Q)
|
57% |
474
11.6 IPS |
