samsung SM-S721U1
Geekbench AI Score
2609
Single Precision Score
2546
Half Precision Score
3911
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 23 2025 09:21 PM |
| 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% |
2285
425.0 IPS |
|
|
Image Classification (HP)
|
100% |
2165
402.7 IPS |
|
|
Image Classification (Q)
|
100% |
3242
602.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2491
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2257
36.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3744
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3727
4.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
3663
4.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
8123
9.63 IPS |
|
|
Object Detection (SP)
|
98% |
1874
149.2 IPS |
|
|
Object Detection (HP)
|
98% |
1924
153.1 IPS |
|
|
Object Detection (Q)
|
83% |
2560
206.8 IPS |
|
|
Face Detection (SP)
|
100% |
3865
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
3778
44.9 IPS |
|
|
Face Detection (Q)
|
95% |
6667
79.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3295
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3347
25.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
6143
56.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9421
12.2 IPS |
|
|
Style Transfer (HP)
|
89% |
9276
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17715
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2076
76.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1961
72.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4864
180.3 IPS |
|
|
Text Classification (SP)
|
100% |
924
1.23 KIPS |
|
|
Text Classification (HP)
|
99% |
923
1.23 KIPS |
|
|
Text Classification (Q)
|
88% |
1414
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1571
27.1 IPS |
|
|
Machine Translation (Q)
|
50% |
666
23.7 IPS |
