samsung SM-S721B
Geekbench AI Score
1983
Single Precision Score
1982
Half Precision Score
2802
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 03:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1469
273.3 IPS |
|
|
Image Classification (HP)
|
100% |
1383
257.2 IPS |
|
|
Image Classification (Q)
|
100% |
2061
383.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1763
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1723
27.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2555
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3063
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3093
3.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
6463
7.66 IPS |
|
|
Object Detection (SP)
|
98% |
1361
108.3 IPS |
|
|
Object Detection (HP)
|
98% |
1539
122.5 IPS |
|
|
Object Detection (Q)
|
83% |
1916
154.8 IPS |
|
|
Face Detection (SP)
|
100% |
3206
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (Q)
|
95% |
4358
52.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3083
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3038
23.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4522
41.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7467
9.69 IPS |
|
|
Style Transfer (HP)
|
89% |
7479
9.71 IPS |
|
|
Style Transfer (Q)
|
98% |
13320
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1599
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1619
59.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3137
116.3 IPS |
|
|
Text Classification (SP)
|
100% |
558
745.4 IPS |
|
|
Text Classification (HP)
|
99% |
556
742.0 IPS |
|
|
Text Classification (Q)
|
88% |
901
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1325
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1292
22.3 IPS |
|
|
Machine Translation (Q)
|
50% |
618
22.0 IPS |
