samsung SM-S721B
Geekbench AI Score
312
Single Precision Score
334
Half Precision Score
1066
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 25 2024 10:31 AM |
| 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% |
287
53.4 IPS |
|
|
Image Classification (Q)
|
99% |
754
140.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
868
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1630
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
779
12.7 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
1990
2.33 IPS |
|
|
Object Detection (SP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (HP)
|
100% |
271
21.5 IPS |
|
|
Object Detection (Q)
|
87% |
797
63.9 IPS |
|
|
Face Detection (SP)
|
100% |
647
7.69 IPS |
|
|
Face Detection (HP)
|
100% |
649
7.71 IPS |
|
|
Face Detection (Q)
|
97% |
1627
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
553
4.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
572
4.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
1384
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
893
1.15 IPS |
|
|
Style Transfer (HP)
|
100% |
878
1.13 IPS |
|
|
Style Transfer (Q)
|
98% |
2250
2.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1530
56.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1687
62.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1084
40.2 IPS |
|
|
Text Classification (SP)
|
100% |
410
547.0 IPS |
|
|
Text Classification (HP)
|
100% |
413
551.9 IPS |
|
|
Text Classification (Q)
|
91% |
699
940.2 IPS |
|
|
Machine Translation (SP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (Q)
|
57% |
532
13.0 IPS |
