samsung SM-S721B
Geekbench AI Score
2253
Single Precision Score
2190
Half Precision Score
3069
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 22 2025 03:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
2139
397.7 IPS |
|
|
Image Classification (HP)
|
100% |
2118
393.9 IPS |
|
|
Image Classification (Q)
|
100% |
2856
531.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3518
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3500
4.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
3468
4.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
8362
9.92 IPS |
|
|
Object Detection (SP)
|
98% |
1944
154.7 IPS |
|
|
Object Detection (HP)
|
98% |
1542
122.7 IPS |
|
|
Object Detection (Q)
|
83% |
1900
153.5 IPS |
|
|
Face Detection (SP)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (Q)
|
95% |
4400
52.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3086
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3059
23.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4524
41.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7541
9.79 IPS |
|
|
Style Transfer (HP)
|
89% |
7540
9.79 IPS |
|
|
Style Transfer (Q)
|
98% |
13594
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1608
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1623
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3258
120.7 IPS |
|
|
Text Classification (SP)
|
100% |
559
746.4 IPS |
|
|
Text Classification (HP)
|
99% |
553
737.5 IPS |
|
|
Text Classification (Q)
|
88% |
853
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1473
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1449
25.0 IPS |
|
|
Machine Translation (Q)
|
50% |
618
22.0 IPS |
