samsung SM-S721B
Geekbench AI Score
1975
Single Precision Score
1942
Half Precision Score
2782
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:59 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% |
1417
263.5 IPS |
|
|
Image Classification (HP)
|
100% |
1557
289.6 IPS |
|
|
Image Classification (Q)
|
100% |
2446
455.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2004
32.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2967
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3353
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2938
3.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
6021
7.14 IPS |
|
|
Object Detection (SP)
|
98% |
1440
114.6 IPS |
|
|
Object Detection (HP)
|
98% |
1315
104.6 IPS |
|
|
Object Detection (Q)
|
83% |
1897
153.2 IPS |
|
|
Face Detection (SP)
|
100% |
3027
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (Q)
|
95% |
4247
50.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2894
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2864
22.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4213
38.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6969
9.05 IPS |
|
|
Style Transfer (HP)
|
89% |
7145
9.28 IPS |
|
|
Style Transfer (Q)
|
98% |
12595
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1500
55.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1536
56.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3042
112.7 IPS |
|
|
Text Classification (SP)
|
100% |
546
728.3 IPS |
|
|
Text Classification (HP)
|
99% |
503
671.0 IPS |
|
|
Text Classification (Q)
|
88% |
858
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1350
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1323
22.8 IPS |
|
|
Machine Translation (Q)
|
50% |
570
20.2 IPS |
