samsung SM-S721B
Geekbench AI Score
2036
Single Precision Score
2127
Half Precision Score
3017
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1633
303.7 IPS |
|
|
Image Classification (HP)
|
100% |
2079
386.7 IPS |
|
|
Image Classification (Q)
|
100% |
2839
528.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2182
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3418
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3355
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3098
3.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
6428
7.62 IPS |
|
|
Object Detection (SP)
|
98% |
1351
107.5 IPS |
|
|
Object Detection (HP)
|
98% |
1532
121.9 IPS |
|
|
Object Detection (Q)
|
83% |
2107
170.2 IPS |
|
|
Face Detection (SP)
|
100% |
3057
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
3179
37.8 IPS |
|
|
Face Detection (Q)
|
95% |
4373
52.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3085
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3215
24.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4769
43.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7523
9.77 IPS |
|
|
Style Transfer (HP)
|
89% |
7498
9.73 IPS |
|
|
Style Transfer (Q)
|
98% |
13364
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1626
60.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1534
56.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3250
120.4 IPS |
|
|
Text Classification (SP)
|
100% |
549
733.1 IPS |
|
|
Text Classification (HP)
|
99% |
551
735.1 IPS |
|
|
Text Classification (Q)
|
88% |
884
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1202
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1389
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
595
21.1 IPS |
