samsung SM-S721B
Geekbench AI Score
2113
Single Precision Score
2168
Half Precision Score
3075
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 14 2025 02:35 PM |
| Views | 2 |
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% |
2293
426.5 IPS |
|
|
Image Classification (HP)
|
100% |
2168
403.3 IPS |
|
|
Image Classification (Q)
|
100% |
3176
590.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3565
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3335
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3580
4.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
7656
9.08 IPS |
|
|
Object Detection (SP)
|
98% |
1423
113.3 IPS |
|
|
Object Detection (HP)
|
98% |
1414
112.5 IPS |
|
|
Object Detection (Q)
|
83% |
1919
155.0 IPS |
|
|
Face Detection (SP)
|
100% |
3143
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (Q)
|
95% |
4442
53.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2939
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3069
23.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4628
42.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7541
9.79 IPS |
|
|
Style Transfer (HP)
|
89% |
7457
9.68 IPS |
|
|
Style Transfer (Q)
|
98% |
13561
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1563
57.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3201
118.6 IPS |
|
|
Text Classification (SP)
|
100% |
532
710.7 IPS |
|
|
Text Classification (HP)
|
99% |
555
741.4 IPS |
|
|
Text Classification (Q)
|
88% |
852
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1224
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1434
24.7 IPS |
|
|
Machine Translation (Q)
|
50% |
598
21.2 IPS |
