samsung SM-S721B
Geekbench AI Score
1978
Single Precision Score
2045
Half Precision Score
2874
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 17 2025 12:52 PM |
| Views | 7 |
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% |
1581
294.0 IPS |
|
|
Image Classification (HP)
|
100% |
1877
349.1 IPS |
|
|
Image Classification (Q)
|
100% |
2533
471.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2883
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3226
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3035
3.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
6323
7.50 IPS |
|
|
Object Detection (SP)
|
98% |
1365
108.7 IPS |
|
|
Object Detection (HP)
|
98% |
1360
108.2 IPS |
|
|
Object Detection (Q)
|
83% |
2067
167.0 IPS |
|
|
Face Detection (SP)
|
100% |
3081
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
3090
36.7 IPS |
|
|
Face Detection (Q)
|
95% |
4404
52.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3024
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2993
23.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4524
41.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7390
9.59 IPS |
|
|
Style Transfer (HP)
|
89% |
7424
9.64 IPS |
|
|
Style Transfer (Q)
|
98% |
13421
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1442
53.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3256
120.7 IPS |
|
|
Text Classification (SP)
|
100% |
591
789.4 IPS |
|
|
Text Classification (HP)
|
99% |
589
786.6 IPS |
|
|
Text Classification (Q)
|
88% |
853
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1091
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (Q)
|
50% |
544
19.3 IPS |
