samsung SM-S721B
Geekbench AI Score
2263
Single Precision Score
2204
Half Precision Score
3172
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 16 2025 09:39 PM |
| Views | 2 |
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% |
2303
428.3 IPS |
|
|
Image Classification (HP)
|
100% |
2187
406.8 IPS |
|
|
Image Classification (Q)
|
100% |
3171
589.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2372
38.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3880
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3409
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
3630
4.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
7943
9.42 IPS |
|
|
Object Detection (SP)
|
98% |
1707
135.9 IPS |
|
|
Object Detection (HP)
|
98% |
1493
118.8 IPS |
|
|
Object Detection (Q)
|
83% |
2158
174.3 IPS |
|
|
Face Detection (SP)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
3115
37.0 IPS |
|
|
Face Detection (Q)
|
95% |
4423
52.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3426
26.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3404
26.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4800
44.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7945
10.3 IPS |
|
|
Style Transfer (HP)
|
89% |
7508
9.75 IPS |
|
|
Style Transfer (Q)
|
98% |
13373
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1570
58.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1613
59.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3262
120.9 IPS |
|
|
Text Classification (SP)
|
100% |
558
745.0 IPS |
|
|
Text Classification (HP)
|
99% |
537
716.3 IPS |
|
|
Text Classification (Q)
|
88% |
849
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1488
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (Q)
|
50% |
623
22.1 IPS |
