samsung SM-S721B
Geekbench AI Score
2102
Single Precision Score
2071
Half Precision Score
2942
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:41 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% |
1788
332.5 IPS |
|
|
Image Classification (HP)
|
100% |
1878
349.3 IPS |
|
|
Image Classification (Q)
|
100% |
2874
534.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2310
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2297
37.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2827
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3579
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
3112
3.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
6405
7.60 IPS |
|
|
Object Detection (SP)
|
98% |
1344
107.0 IPS |
|
|
Object Detection (HP)
|
98% |
1342
106.8 IPS |
|
|
Object Detection (Q)
|
83% |
1883
152.1 IPS |
|
|
Face Detection (SP)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3167
37.6 IPS |
|
|
Face Detection (Q)
|
95% |
4535
54.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3019
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3075
23.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4598
42.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7400
9.61 IPS |
|
|
Style Transfer (HP)
|
89% |
7276
9.44 IPS |
|
|
Style Transfer (Q)
|
98% |
13402
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1634
60.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1608
59.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3248
120.3 IPS |
|
|
Text Classification (SP)
|
100% |
543
725.1 IPS |
|
|
Text Classification (HP)
|
99% |
587
783.6 IPS |
|
|
Text Classification (Q)
|
88% |
881
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1210
20.8 IPS |
|
|
Machine Translation (Q)
|
50% |
620
22.0 IPS |
