samsung SM-S721B
Geekbench AI Score
1280
Single Precision Score
2310
Half Precision Score
1693
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 03:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
741
137.8 IPS |
|
|
Image Classification (HP)
|
100% |
1449
269.5 IPS |
|
|
Image Classification (Q)
|
100% |
1120
208.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1551
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2502
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6002
7.00 IPS |
|
|
Pose Estimation (HP)
|
99% |
12387
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11868
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
578
45.8 IPS |
|
|
Object Detection (HP)
|
99% |
1012
80.3 IPS |
|
|
Object Detection (Q)
|
84% |
1031
83.2 IPS |
|
|
Face Detection (SP)
|
100% |
2929
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
4284
50.9 IPS |
|
|
Face Detection (Q)
|
97% |
3445
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3599
27.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
5890
45.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
4812
46.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12368
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22448
28.9 IPS |
|
|
Style Transfer (Q)
|
98% |
21345
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1714
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3151
116.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3101
114.9 IPS |
|
|
Text Classification (SP)
|
29% |
20
352.3 IPS |
|
|
Text Classification (HP)
|
35% |
63
572.9 IPS |
|
|
Text Classification (Q)
|
29% |
27
470.1 IPS |
|
|
Machine Translation (SP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
916
15.8 IPS |
|
|
Machine Translation (Q)
|
42% |
191
12.4 IPS |
