samsung SM-S721U1
Geekbench AI Score
2244
Single Precision Score
2191
Half Precision Score
3267
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 09 2025 12:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S721U1 |
| Model ID | samsung SM-S721U1 |
| 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% |
1949
362.5 IPS |
|
|
Image Classification (HP)
|
100% |
2104
391.3 IPS |
|
|
Image Classification (Q)
|
100% |
3123
580.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2390
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2367
38.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3916
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3445
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3488
4.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
7939
9.42 IPS |
|
|
Object Detection (SP)
|
98% |
1864
148.4 IPS |
|
|
Object Detection (HP)
|
98% |
1920
152.7 IPS |
|
|
Object Detection (Q)
|
83% |
2883
232.9 IPS |
|
|
Face Detection (SP)
|
100% |
3699
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
3246
38.6 IPS |
|
|
Face Detection (Q)
|
95% |
4465
53.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3110
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2943
22.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4545
41.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7369
9.57 IPS |
|
|
Style Transfer (HP)
|
89% |
7574
9.83 IPS |
|
|
Style Transfer (Q)
|
98% |
13295
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1578
58.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1594
58.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3267
121.1 IPS |
|
|
Text Classification (SP)
|
100% |
543
725.3 IPS |
|
|
Text Classification (HP)
|
99% |
593
791.5 IPS |
|
|
Text Classification (Q)
|
88% |
903
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1496
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1120
19.3 IPS |
|
|
Machine Translation (Q)
|
50% |
622
22.1 IPS |
