samsung SM-S721B
Geekbench AI Score
2537
Single Precision Score
2461
Half Precision Score
3804
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 13 2025 09:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
2316
430.8 IPS |
|
|
Image Classification (HP)
|
100% |
2216
412.1 IPS |
|
|
Image Classification (Q)
|
100% |
3242
602.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2360
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2509
40.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3899
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3814
4.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
3652
4.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
8785
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
2092
166.5 IPS |
|
|
Object Detection (HP)
|
98% |
2087
166.0 IPS |
|
|
Object Detection (Q)
|
83% |
2806
226.7 IPS |
|
|
Face Detection (SP)
|
100% |
3759
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
3906
46.4 IPS |
|
|
Face Detection (Q)
|
95% |
6880
82.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3955
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3854
29.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
6114
56.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9583
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8700
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16446
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1767
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1771
65.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3588
133.0 IPS |
|
|
Text Classification (SP)
|
100% |
625
834.3 IPS |
|
|
Text Classification (HP)
|
99% |
623
831.6 IPS |
|
|
Text Classification (Q)
|
88% |
947
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1611
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (Q)
|
50% |
867
30.8 IPS |
