samsung SM-S721B
Geekbench AI Score
2288
Single Precision Score
2382
Half Precision Score
3411
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | harsidh |
| Upload Date | September 26 2025 05:35 AM |
| Views | 5 |
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% |
1859
345.7 IPS |
|
|
Image Classification (HP)
|
100% |
2240
416.6 IPS |
|
|
Image Classification (Q)
|
100% |
3188
592.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1647
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3893
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3591
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3684
4.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
8193
9.72 IPS |
|
|
Object Detection (SP)
|
98% |
1862
148.2 IPS |
|
|
Object Detection (HP)
|
98% |
2003
159.4 IPS |
|
|
Object Detection (Q)
|
83% |
2573
207.9 IPS |
|
|
Face Detection (SP)
|
100% |
3741
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
3725
44.3 IPS |
|
|
Face Detection (Q)
|
95% |
6104
72.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3927
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3928
30.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5741
52.6 IPS |
|
|
Style Transfer (SP)
|
89% |
9318
12.1 IPS |
|
|
Style Transfer (HP)
|
89% |
8252
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
13579
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1589
58.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1587
58.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3207
118.8 IPS |
|
|
Text Classification (SP)
|
100% |
591
789.5 IPS |
|
|
Text Classification (HP)
|
99% |
591
789.2 IPS |
|
|
Text Classification (Q)
|
88% |
878
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1496
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1478
25.5 IPS |
|
|
Machine Translation (Q)
|
50% |
609
21.6 IPS |
