samsung SM-S721B
Geekbench AI Score
674
Single Precision Score
668
Half Precision Score
1203
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | dd1989 |
| Upload Date | August 03 2025 03:35 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S721B |
| Model ID | samsung SM-S721B |
| Motherboard | exynos2100 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 4 Cores @ 2.21 GHz |
| Cluster 2 | 3 Cores @ 2.81 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 10.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
301
55.9 IPS |
|
|
Image Classification (HP)
|
100% |
282
52.5 IPS |
|
|
Image Classification (Q)
|
100% |
869
161.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
384
6.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
379
6.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
1001
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1483
1.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
1563
1.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
2120
2.51 IPS |
|
|
Object Detection (SP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (HP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (Q)
|
83% |
823
66.5 IPS |
|
|
Face Detection (SP)
|
100% |
1020
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
998
11.9 IPS |
|
|
Face Detection (Q)
|
95% |
2037
24.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1321
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1287
9.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
1969
18.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2471
3.21 IPS |
|
|
Style Transfer (HP)
|
89% |
2459
3.19 IPS |
|
|
Style Transfer (Q)
|
98% |
4852
6.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
730
27.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
733
27.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1192
44.2 IPS |
|
|
Text Classification (SP)
|
100% |
322
429.8 IPS |
|
|
Text Classification (HP)
|
100% |
319
426.3 IPS |
|
|
Text Classification (Q)
|
88% |
556
750.0 IPS |
|
|
Machine Translation (SP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.63 IPS |
|
|
Machine Translation (Q)
|
50% |
326
11.6 IPS |
