samsung SM-S721B
Geekbench AI Score
292
Single Precision Score
302
Half Precision Score
907
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 01:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
298
55.4 IPS |
|
|
Image Classification (HP)
|
100% |
293
54.6 IPS |
|
|
Image Classification (Q)
|
99% |
754
140.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
865
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
790
12.8 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
1994
2.33 IPS |
|
|
Object Detection (SP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (HP)
|
100% |
278
22.1 IPS |
|
|
Object Detection (Q)
|
87% |
803
64.4 IPS |
|
|
Face Detection (SP)
|
100% |
650
7.72 IPS |
|
|
Face Detection (HP)
|
100% |
655
7.78 IPS |
|
|
Face Detection (Q)
|
97% |
1630
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
568
4.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
567
4.37 IPS |
|
|
Depth Estimation (Q)
|
64% |
1450
13.2 IPS |
|
|
Style Transfer (SP)
|
100% |
926
1.19 IPS |
|
|
Style Transfer (HP)
|
100% |
741
0.95 IPS |
|
|
Style Transfer (Q)
|
98% |
1613
2.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1480
54.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1626
60.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
731
27.1 IPS |
|
|
Text Classification (SP)
|
100% |
275
366.9 IPS |
|
|
Text Classification (HP)
|
100% |
262
349.9 IPS |
|
|
Text Classification (Q)
|
91% |
407
547.3 IPS |
|
|
Machine Translation (SP)
|
100% |
463
7.97 IPS |
|
|
Machine Translation (HP)
|
100% |
462
7.97 IPS |
|
|
Machine Translation (Q)
|
57% |
349
8.53 IPS |
