samsung SM-S721B
Geekbench AI Score
1962
Single Precision Score
1944
Half Precision Score
2764
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 20 2025 08:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1769
328.9 IPS |
|
|
Image Classification (HP)
|
100% |
1487
276.5 IPS |
|
|
Image Classification (Q)
|
100% |
1936
360.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1665
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1498
24.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2406
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3100
3.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2983
3.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
6449
7.65 IPS |
|
|
Object Detection (SP)
|
98% |
1355
107.9 IPS |
|
|
Object Detection (HP)
|
98% |
1358
108.0 IPS |
|
|
Object Detection (Q)
|
83% |
1920
155.1 IPS |
|
|
Face Detection (SP)
|
100% |
3089
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
3095
36.8 IPS |
|
|
Face Detection (Q)
|
95% |
4279
51.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3081
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3057
23.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4515
41.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7258
9.42 IPS |
|
|
Style Transfer (HP)
|
89% |
7450
9.67 IPS |
|
|
Style Transfer (Q)
|
98% |
13518
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1599
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3201
118.6 IPS |
|
|
Text Classification (SP)
|
100% |
562
749.8 IPS |
|
|
Text Classification (HP)
|
99% |
568
758.3 IPS |
|
|
Text Classification (Q)
|
88% |
911
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1101
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1358
23.4 IPS |
|
|
Machine Translation (Q)
|
50% |
593
21.1 IPS |
