samsung SM-S721B
Geekbench AI Score
2489
Single Precision Score
2469
Half Precision Score
3882
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:32 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% |
2188
406.9 IPS |
|
|
Image Classification (HP)
|
100% |
1925
357.9 IPS |
|
|
Image Classification (Q)
|
100% |
3425
637.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3748
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3527
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
3538
4.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
8051
9.55 IPS |
|
|
Object Detection (SP)
|
98% |
1782
141.8 IPS |
|
|
Object Detection (HP)
|
98% |
1887
150.2 IPS |
|
|
Object Detection (Q)
|
83% |
2701
218.2 IPS |
|
|
Face Detection (SP)
|
100% |
3725
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
3700
44.0 IPS |
|
|
Face Detection (Q)
|
95% |
6769
80.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3608
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3495
27.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5848
53.6 IPS |
|
|
Style Transfer (SP)
|
89% |
8710
11.3 IPS |
|
|
Style Transfer (HP)
|
89% |
8795
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16813
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1893
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1946
71.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4476
165.9 IPS |
|
|
Text Classification (SP)
|
100% |
791
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
795
1.06 KIPS |
|
|
Text Classification (Q)
|
88% |
1224
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1609
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1548
26.7 IPS |
|
|
Machine Translation (Q)
|
50% |
765
27.1 IPS |
