samsung SM-S721B
Geekbench AI Score
2262
Single Precision Score
2261
Half Precision Score
3358
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 24 2025 10:38 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% |
1742
324.1 IPS |
|
|
Image Classification (HP)
|
100% |
2142
398.3 IPS |
|
|
Image Classification (Q)
|
100% |
3106
577.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2240
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3536
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3416
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
3358
3.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
7859
9.32 IPS |
|
|
Object Detection (SP)
|
98% |
1812
144.2 IPS |
|
|
Object Detection (HP)
|
98% |
1744
138.8 IPS |
|
|
Object Detection (Q)
|
83% |
2604
210.3 IPS |
|
|
Face Detection (SP)
|
100% |
3385
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
3387
40.2 IPS |
|
|
Face Detection (Q)
|
95% |
5571
66.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3699
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3841
29.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5869
53.8 IPS |
|
|
Style Transfer (SP)
|
89% |
9245
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
7514
9.75 IPS |
|
|
Style Transfer (Q)
|
98% |
13217
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1607
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1626
60.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3259
120.8 IPS |
|
|
Text Classification (SP)
|
100% |
536
715.8 IPS |
|
|
Text Classification (HP)
|
99% |
560
747.7 IPS |
|
|
Text Classification (Q)
|
88% |
903
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1459
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (Q)
|
50% |
638
22.6 IPS |
