samsung SM-S721N
Geekbench AI Score
1331
Single Precision Score
2457
Half Precision Score
1846
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 31 2025 07:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S721N |
| Model ID | samsung SM-S721N |
| 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% |
862
160.3 IPS |
|
|
Image Classification (HP)
|
100% |
1512
281.1 IPS |
|
|
Image Classification (Q)
|
100% |
1363
253.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2802
45.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2307
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6370
7.43 IPS |
|
|
Pose Estimation (HP)
|
99% |
13105
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12460
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
582
46.2 IPS |
|
|
Object Detection (HP)
|
99% |
1027
81.5 IPS |
|
|
Object Detection (Q)
|
84% |
1083
87.4 IPS |
|
|
Face Detection (SP)
|
100% |
2675
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
4355
51.8 IPS |
|
|
Face Detection (Q)
|
97% |
4154
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3656
28.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
6706
51.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
5020
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14697
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24013
30.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23485
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1773
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3222
119.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3265
121.0 IPS |
|
|
Text Classification (SP)
|
29% |
22
382.5 IPS |
|
|
Text Classification (HP)
|
35% |
64
578.2 IPS |
|
|
Text Classification (Q)
|
30% |
34
541.0 IPS |
|
|
Machine Translation (SP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (Q)
|
42% |
200
13.0 IPS |
