samsung SM-S721B
Geekbench AI Score
302
Single Precision Score
317
Half Precision Score
1010
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 14 2025 02:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
285
53.0 IPS |
|
|
Image Classification (HP)
|
100% |
266
49.5 IPS |
|
|
Image Classification (Q)
|
99% |
723
134.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
940
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
724
11.8 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
1884
2.21 IPS |
|
|
Object Detection (SP)
|
100% |
253
20.1 IPS |
|
|
Object Detection (HP)
|
100% |
253
20.1 IPS |
|
|
Object Detection (Q)
|
87% |
752
60.3 IPS |
|
|
Face Detection (SP)
|
100% |
636
7.55 IPS |
|
|
Face Detection (HP)
|
100% |
636
7.55 IPS |
|
|
Face Detection (Q)
|
97% |
1539
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
538
4.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
535
4.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
1340
12.2 IPS |
|
|
Style Transfer (SP)
|
100% |
857
1.10 IPS |
|
|
Style Transfer (HP)
|
100% |
868
1.12 IPS |
|
|
Style Transfer (Q)
|
98% |
2215
2.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1396
51.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1468
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1019
37.7 IPS |
|
|
Text Classification (SP)
|
100% |
385
513.6 IPS |
|
|
Text Classification (HP)
|
100% |
412
549.6 IPS |
|
|
Text Classification (Q)
|
91% |
674
906.1 IPS |
|
|
Machine Translation (SP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (Q)
|
57% |
478
11.7 IPS |
