samsung SM-S721B
Geekbench AI Score
2005
Single Precision Score
2038
Half Precision Score
2856
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1765
328.3 IPS |
|
|
Image Classification (HP)
|
100% |
1914
356.0 IPS |
|
|
Image Classification (Q)
|
100% |
3113
579.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2310
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2237
36.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3241
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3254
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
3094
3.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
5898
7.00 IPS |
|
|
Object Detection (SP)
|
98% |
1244
99.0 IPS |
|
|
Object Detection (HP)
|
98% |
1446
115.1 IPS |
|
|
Object Detection (Q)
|
83% |
1963
158.6 IPS |
|
|
Face Detection (SP)
|
100% |
2928
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
3032
36.0 IPS |
|
|
Face Detection (Q)
|
95% |
4250
50.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2863
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2914
22.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4292
39.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7047
9.15 IPS |
|
|
Style Transfer (HP)
|
89% |
6947
9.02 IPS |
|
|
Style Transfer (Q)
|
98% |
12511
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1463
54.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1498
55.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3018
111.8 IPS |
|
|
Text Classification (SP)
|
100% |
553
737.7 IPS |
|
|
Text Classification (HP)
|
99% |
530
707.9 IPS |
|
|
Text Classification (Q)
|
88% |
782
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1335
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (Q)
|
50% |
575
20.4 IPS |
