samsung SM-S721B
Geekbench AI Score
1999
Single Precision Score
2003
Half Precision Score
2868
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 09:43 AM |
| 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% |
1714
318.7 IPS |
|
|
Image Classification (HP)
|
100% |
1515
281.7 IPS |
|
|
Image Classification (Q)
|
100% |
2643
491.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1804
29.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2734
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3078
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2991
3.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
6446
7.65 IPS |
|
|
Object Detection (SP)
|
98% |
1357
108.0 IPS |
|
|
Object Detection (HP)
|
98% |
1533
122.0 IPS |
|
|
Object Detection (Q)
|
83% |
1899
153.4 IPS |
|
|
Face Detection (SP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
3073
36.5 IPS |
|
|
Face Detection (Q)
|
95% |
4394
52.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2952
22.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2921
22.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4350
39.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7332
9.52 IPS |
|
|
Style Transfer (HP)
|
89% |
7258
9.42 IPS |
|
|
Style Transfer (Q)
|
98% |
13512
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1593
58.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1566
57.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3238
120.0 IPS |
|
|
Text Classification (SP)
|
100% |
552
736.6 IPS |
|
|
Text Classification (HP)
|
99% |
581
775.2 IPS |
|
|
Text Classification (Q)
|
88% |
833
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1375
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1403
24.2 IPS |
|
|
Machine Translation (Q)
|
50% |
612
21.7 IPS |
