samsung SM-S721U
Geekbench AI Score
1650
Single Precision Score
1473
Half Precision Score
1445
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 08:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S721U |
| Model ID | samsung SM-S721U |
| 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% |
906
168.5 IPS |
|
|
Image Classification (HP)
|
100% |
851
158.2 IPS |
|
|
Image Classification (Q)
|
99% |
763
142.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1694
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1727
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3422
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2425
2.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
2371
2.78 IPS |
|
|
Object Detection (SP)
|
100% |
912
72.3 IPS |
|
|
Object Detection (HP)
|
100% |
764
60.6 IPS |
|
|
Object Detection (Q)
|
86% |
747
60.1 IPS |
|
|
Face Detection (SP)
|
100% |
3068
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
3308
39.3 IPS |
|
|
Face Detection (Q)
|
97% |
2818
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3106
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2356
18.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1933
18.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9040
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7391
9.50 IPS |
|
|
Style Transfer (Q)
|
98% |
7274
9.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1535
56.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1231
45.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1199
44.4 IPS |
|
|
Text Classification (SP)
|
100% |
392
523.7 IPS |
|
|
Text Classification (HP)
|
100% |
413
550.9 IPS |
|
|
Text Classification (Q)
|
91% |
689
925.5 IPS |
|
|
Machine Translation (SP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (Q)
|
57% |
523
12.8 IPS |
