samsung SM-S721B
Geekbench AI Score
2216
Single Precision Score
2192
Half Precision Score
3096
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 03:59 AM |
| Views | 2 |
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% |
2308
429.2 IPS |
|
|
Image Classification (HP)
|
100% |
2181
405.6 IPS |
|
|
Image Classification (Q)
|
100% |
3134
582.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2201
35.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3820
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3519
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
3501
4.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
8295
9.84 IPS |
|
|
Object Detection (SP)
|
98% |
1366
108.7 IPS |
|
|
Object Detection (HP)
|
98% |
1548
123.2 IPS |
|
|
Object Detection (Q)
|
83% |
1822
147.2 IPS |
|
|
Face Detection (SP)
|
100% |
3262
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
3265
38.8 IPS |
|
|
Face Detection (Q)
|
95% |
4563
54.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3254
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3369
26.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4830
44.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7556
9.81 IPS |
|
|
Style Transfer (HP)
|
89% |
7564
9.82 IPS |
|
|
Style Transfer (Q)
|
98% |
13332
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1609
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1631
60.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3213
119.0 IPS |
|
|
Text Classification (SP)
|
100% |
577
770.4 IPS |
|
|
Text Classification (HP)
|
99% |
576
768.4 IPS |
|
|
Text Classification (Q)
|
88% |
826
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1482
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (Q)
|
50% |
575
20.4 IPS |
