samsung SM-S721B
Geekbench AI Score
1350
Single Precision Score
2470
Half Precision Score
1849
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 04:32 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% |
922
171.5 IPS |
|
|
Image Classification (HP)
|
100% |
1415
263.2 IPS |
|
|
Image Classification (Q)
|
100% |
1239
230.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1399
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2563
41.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2325
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6343
7.40 IPS |
|
|
Pose Estimation (HP)
|
99% |
12730
14.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12693
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
596
47.3 IPS |
|
|
Object Detection (HP)
|
99% |
1136
90.1 IPS |
|
|
Object Detection (Q)
|
84% |
964
77.8 IPS |
|
|
Face Detection (SP)
|
100% |
2591
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
7248
86.1 IPS |
|
|
Face Detection (Q)
|
97% |
3926
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3606
27.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
6354
49.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
4957
47.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13884
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24015
30.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23371
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1727
63.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3525
130.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3482
129.0 IPS |
|
|
Text Classification (SP)
|
29% |
26
449.9 IPS |
|
|
Text Classification (HP)
|
29% |
41
709.4 IPS |
|
|
Text Classification (Q)
|
31% |
42
619.1 IPS |
|
|
Machine Translation (SP)
|
100% |
711
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (Q)
|
42% |
200
13.0 IPS |
