samsung SM-S721U1
Geekbench AI Score
1602
Single Precision Score
1409
Half Precision Score
1397
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 18 2025 03:25 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% |
666
123.8 IPS |
|
|
Image Classification (HP)
|
100% |
599
111.5 IPS |
|
|
Image Classification (Q)
|
99% |
566
105.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1510
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1798
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1565
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3596
4.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2496
2.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
2465
2.89 IPS |
|
|
Object Detection (SP)
|
100% |
887
70.4 IPS |
|
|
Object Detection (HP)
|
100% |
627
49.8 IPS |
|
|
Object Detection (Q)
|
86% |
606
48.7 IPS |
|
|
Face Detection (SP)
|
100% |
2464
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (Q)
|
97% |
2684
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3082
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2475
19.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2017
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9219
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7525
9.67 IPS |
|
|
Style Transfer (Q)
|
98% |
7423
9.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1645
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1079
39.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1302
48.2 IPS |
|
|
Text Classification (SP)
|
100% |
452
603.5 IPS |
|
|
Text Classification (HP)
|
100% |
451
602.1 IPS |
|
|
Text Classification (Q)
|
91% |
730
981.1 IPS |
|
|
Machine Translation (SP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (Q)
|
57% |
564
13.8 IPS |
