samsung SM-S721U1
Geekbench AI Score
1617
Single Precision Score
1418
Half Precision Score
1375
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 09 2025 01:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
659
122.6 IPS |
|
|
Image Classification (HP)
|
100% |
778
144.7 IPS |
|
|
Image Classification (Q)
|
99% |
749
139.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1583
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1651
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3583
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2512
2.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
2465
2.89 IPS |
|
|
Object Detection (SP)
|
100% |
932
73.9 IPS |
|
|
Object Detection (HP)
|
100% |
638
50.6 IPS |
|
|
Object Detection (Q)
|
86% |
607
48.8 IPS |
|
|
Face Detection (SP)
|
100% |
2623
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
2818
33.5 IPS |
|
|
Face Detection (Q)
|
97% |
2368
28.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3167
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2370
18.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2025
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9185
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7478
9.61 IPS |
|
|
Style Transfer (Q)
|
98% |
7473
9.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1761
65.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1181
43.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1040
38.5 IPS |
|
|
Text Classification (SP)
|
100% |
418
558.0 IPS |
|
|
Text Classification (HP)
|
100% |
416
554.6 IPS |
|
|
Text Classification (Q)
|
91% |
679
912.6 IPS |
|
|
Machine Translation (SP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
599
10.3 IPS |
|
|
Machine Translation (Q)
|
57% |
516
12.6 IPS |
