samsung SM-S721B
Geekbench AI Score
1336
Single Precision Score
2580
Half Precision Score
1875
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 04:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S721B |
| Model ID | samsung SM-S721B |
| 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% |
827
153.9 IPS |
|
|
Image Classification (HP)
|
100% |
1653
307.4 IPS |
|
|
Image Classification (Q)
|
100% |
1361
253.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2912
47.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2285
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6076
7.09 IPS |
|
|
Pose Estimation (HP)
|
99% |
12890
15.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13129
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
589
46.7 IPS |
|
|
Object Detection (HP)
|
99% |
1088
86.3 IPS |
|
|
Object Detection (Q)
|
84% |
941
75.9 IPS |
|
|
Face Detection (SP)
|
100% |
2922
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
4536
53.9 IPS |
|
|
Face Detection (Q)
|
97% |
5059
60.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4004
30.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
6514
50.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
4877
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13081
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24983
32.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23382
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1694
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3362
124.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3452
127.9 IPS |
|
|
Text Classification (SP)
|
29% |
24
406.1 IPS |
|
|
Text Classification (HP)
|
35% |
79
714.4 IPS |
|
|
Text Classification (Q)
|
29% |
36
620.0 IPS |
|
|
Machine Translation (SP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
990
17.1 IPS |
|
|
Machine Translation (Q)
|
42% |
196
12.7 IPS |
