samsung SM-S721B
Geekbench AI Score
256
Single Precision Score
286
Half Precision Score
791
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Abdelrahman7680 |
| Upload Date | July 14 2025 08:44 AM |
| Views | 9 |
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% |
277
51.5 IPS |
|
|
Image Classification (HP)
|
100% |
279
51.9 IPS |
|
|
Image Classification (Q)
|
99% |
716
133.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
847
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1235
20.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
705
11.5 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
1860
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
244
19.3 IPS |
|
|
Object Detection (HP)
|
100% |
245
19.4 IPS |
|
|
Object Detection (Q)
|
87% |
679
54.5 IPS |
|
|
Face Detection (SP)
|
100% |
526
6.25 IPS |
|
|
Face Detection (HP)
|
100% |
548
6.51 IPS |
|
|
Face Detection (Q)
|
97% |
1282
15.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
404
3.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
537
4.14 IPS |
|
|
Depth Estimation (Q)
|
64% |
716
6.49 IPS |
|
|
Style Transfer (SP)
|
100% |
864
1.11 IPS |
|
|
Style Transfer (HP)
|
100% |
706
0.91 IPS |
|
|
Style Transfer (Q)
|
98% |
1654
2.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1282
47.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1326
49.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
840
31.1 IPS |
|
|
Text Classification (SP)
|
100% |
177
235.7 IPS |
|
|
Text Classification (HP)
|
100% |
318
423.8 IPS |
|
|
Text Classification (Q)
|
91% |
287
386.0 IPS |
|
|
Machine Translation (SP)
|
100% |
522
8.99 IPS |
|
|
Machine Translation (HP)
|
100% |
505
8.69 IPS |
|
|
Machine Translation (Q)
|
57% |
413
10.1 IPS |
