samsung SM-S721U
Geekbench AI Score
2355
Single Precision Score
2487
Half Precision Score
4004
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 27 2025 07:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
2018
375.2 IPS |
|
|
Image Classification (HP)
|
100% |
1842
342.6 IPS |
|
|
Image Classification (Q)
|
100% |
3208
596.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2226
36.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3542
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3395
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
3556
4.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
8506
10.1 IPS |
|
|
Object Detection (SP)
|
98% |
1739
138.4 IPS |
|
|
Object Detection (HP)
|
98% |
1942
154.5 IPS |
|
|
Object Detection (Q)
|
83% |
2741
221.4 IPS |
|
|
Face Detection (SP)
|
100% |
3852
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
3913
46.5 IPS |
|
|
Face Detection (Q)
|
95% |
7161
85.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3406
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3660
28.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
6454
59.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9263
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9074
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
16874
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1811
66.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2148
79.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4721
174.9 IPS |
|
|
Text Classification (SP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (HP)
|
99% |
870
1.16 KIPS |
|
|
Text Classification (Q)
|
88% |
1359
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1164
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (Q)
|
50% |
800
28.4 IPS |
