samsung SM-S721B
Geekbench AI Score
2027
Single Precision Score
2042
Half Precision Score
2924
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 08:40 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% |
1407
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
1745
324.5 IPS |
|
|
Image Classification (Q)
|
100% |
2895
538.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2062
33.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3125
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3453
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
3109
3.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
6459
7.66 IPS |
|
|
Object Detection (SP)
|
98% |
1541
122.6 IPS |
|
|
Object Detection (HP)
|
98% |
1365
108.6 IPS |
|
|
Object Detection (Q)
|
83% |
1926
155.6 IPS |
|
|
Face Detection (SP)
|
100% |
3118
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
3120
37.1 IPS |
|
|
Face Detection (Q)
|
95% |
4429
52.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3071
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3149
24.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4541
41.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7385
9.59 IPS |
|
|
Style Transfer (HP)
|
89% |
7524
9.77 IPS |
|
|
Style Transfer (Q)
|
98% |
12486
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1607
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1625
60.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3178
117.8 IPS |
|
|
Text Classification (SP)
|
100% |
560
747.3 IPS |
|
|
Text Classification (HP)
|
99% |
558
745.0 IPS |
|
|
Text Classification (Q)
|
88% |
833
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1155
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (Q)
|
50% |
611
21.7 IPS |
