samsung SM-S721B
Geekbench AI Score
311
Single Precision Score
446
Half Precision Score
404
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 02:58 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S721B |
| Model ID | samsung SM-S721B |
| Motherboard | exynos9825 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 3 revision 0 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
168
31.3 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.7 IPS |
|
|
Image Classification (Q)
|
99% |
365
68.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
290
4.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
408
6.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
1165
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
4728
5.52 IPS |
|
|
Pose Estimation (Q)
|
98% |
982
1.15 IPS |
|
|
Object Detection (SP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (HP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (Q)
|
87% |
394
31.6 IPS |
|
|
Face Detection (SP)
|
100% |
416
4.94 IPS |
|
|
Face Detection (HP)
|
100% |
427
5.08 IPS |
|
|
Face Detection (Q)
|
97% |
798
9.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
369
2.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
369
2.84 IPS |
|
|
Depth Estimation (Q)
|
64% |
758
6.88 IPS |
|
|
Style Transfer (SP)
|
100% |
738
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
638
0.82 IPS |
|
|
Style Transfer (Q)
|
98% |
409
0.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
437
16.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
825
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
567
21.0 IPS |
|
|
Text Classification (SP)
|
100% |
46
62.0 IPS |
|
|
Text Classification (HP)
|
100% |
236
315.0 IPS |
|
|
Text Classification (Q)
|
91% |
47
63.8 IPS |
|
|
Machine Translation (SP)
|
100% |
398
6.85 IPS |
|
|
Machine Translation (HP)
|
100% |
381
6.56 IPS |
|
|
Machine Translation (Q)
|
57% |
308
7.53 IPS |
