samsung SM-S721U1
Geekbench AI Score
3529
Single Precision Score
24444
Half Precision Score
44845
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 03 2025 06:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S721U1 |
| Model ID | samsung SM-S721U1 |
| 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% |
1590
295.6 IPS |
|
|
Image Classification (HP)
|
100% |
16323
3.04 KIPS |
|
|
Image Classification (Q)
|
100% |
31730
5.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3070
49.8 IPS |
|
|
Image Segmentation (HP)
|
97% |
12521
203.7 IPS |
|
|
Image Segmentation (Q)
|
96% |
28441
462.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14225
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
87197
101.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
302543
354.3 IPS |
|
|
Object Detection (SP)
|
100% |
1588
126.0 IPS |
|
|
Object Detection (HP)
|
100% |
13847
1.10 KIPS |
|
|
Object Detection (Q)
|
90% |
20601
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
5092
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
37709
448.1 IPS |
|
|
Face Detection (Q)
|
97% |
93066
1.11 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5641
43.5 IPS |
|
|
Depth Estimation (HP)
|
79% |
56397
447.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
105251
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
29444
37.9 IPS |
|
|
Style Transfer (HP)
|
99% |
169921
218.4 IPS |
|
|
Style Transfer (Q)
|
98% |
268126
345.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4163
153.7 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22815
857.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
56708
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
614
820.0 IPS |
|
|
Text Classification (HP)
|
100% |
6373
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
7208
9.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5875
101.2 IPS |
|
|
Machine Translation (Q)
|
56% |
5449
139.8 IPS |
