samsung SM-S721B
Geekbench AI Score
2399
Single Precision Score
2383
Half Precision Score
3720
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | August 25 2025 04:17 PM |
| Views | 3 |
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 | 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% |
1930
359.0 IPS |
|
|
Image Classification (HP)
|
100% |
1843
342.7 IPS |
|
|
Image Classification (Q)
|
100% |
3211
597.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2438
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3966
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3793
4.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
3599
4.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
8421
9.99 IPS |
|
|
Object Detection (SP)
|
98% |
1786
142.1 IPS |
|
|
Object Detection (HP)
|
98% |
1891
150.5 IPS |
|
|
Object Detection (Q)
|
83% |
2869
231.7 IPS |
|
|
Face Detection (SP)
|
100% |
3910
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
3640
43.2 IPS |
|
|
Face Detection (Q)
|
95% |
6770
80.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3293
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3373
26.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
6164
56.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9293
12.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9052
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
17895
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1782
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1784
65.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3820
141.6 IPS |
|
|
Text Classification (SP)
|
100% |
634
846.4 IPS |
|
|
Text Classification (HP)
|
99% |
619
826.6 IPS |
|
|
Text Classification (Q)
|
88% |
1026
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1467
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1594
27.5 IPS |
|
|
Machine Translation (Q)
|
50% |
565
20.1 IPS |
