samsung SM-S721U1
Geekbench AI Score
2076
Single Precision Score
1999
Half Precision Score
2779
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 11:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1984
369.0 IPS |
|
|
Image Classification (HP)
|
100% |
1393
259.1 IPS |
|
|
Image Classification (Q)
|
100% |
2147
399.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1751
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2472
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3238
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3256
3.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
6480
7.68 IPS |
|
|
Object Detection (SP)
|
98% |
1349
107.3 IPS |
|
|
Object Detection (HP)
|
98% |
1358
108.1 IPS |
|
|
Object Detection (Q)
|
83% |
1892
152.8 IPS |
|
|
Face Detection (SP)
|
100% |
3193
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
3174
37.7 IPS |
|
|
Face Detection (Q)
|
95% |
4365
52.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3043
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3039
23.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4602
42.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7478
9.71 IPS |
|
|
Style Transfer (HP)
|
89% |
7521
9.76 IPS |
|
|
Style Transfer (Q)
|
98% |
13407
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1623
59.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1639
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3086
114.4 IPS |
|
|
Text Classification (SP)
|
100% |
563
752.1 IPS |
|
|
Text Classification (HP)
|
99% |
553
738.6 IPS |
|
|
Text Classification (Q)
|
88% |
816
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1477
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1442
24.8 IPS |
|
|
Machine Translation (Q)
|
50% |
624
22.1 IPS |
