samsung SM-S721B
Geekbench AI Score
2123
Single Precision Score
2143
Half Precision Score
3097
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 19 2025 07:36 PM |
| Views | 2 |
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% |
2157
401.1 IPS |
|
|
Image Classification (Q)
|
100% |
3079
572.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2233
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2219
36.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3768
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3118
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3007
3.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
6129
7.27 IPS |
|
|
Object Detection (SP)
|
98% |
1787
142.2 IPS |
|
|
Object Detection (HP)
|
98% |
1782
141.8 IPS |
|
|
Object Detection (Q)
|
83% |
2165
174.9 IPS |
|
|
Face Detection (SP)
|
100% |
2885
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
2843
33.8 IPS |
|
|
Face Detection (Q)
|
95% |
4992
59.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3226
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3165
24.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4546
41.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7562
9.82 IPS |
|
|
Style Transfer (HP)
|
89% |
7570
9.83 IPS |
|
|
Style Transfer (Q)
|
98% |
13609
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1533
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1471
54.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3268
121.1 IPS |
|
|
Text Classification (SP)
|
100% |
551
736.0 IPS |
|
|
Text Classification (HP)
|
99% |
550
734.7 IPS |
|
|
Text Classification (Q)
|
88% |
796
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1355
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1447
24.9 IPS |
|
|
Machine Translation (Q)
|
50% |
658
23.3 IPS |
