samsung SM-S721B
Geekbench AI Score
2581
Single Precision Score
2673
Half Precision Score
4097
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | eldavido |
| Upload Date | December 22 2024 01:56 PM |
| Views | 11 |
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% |
1946
361.9 IPS |
|
|
Image Classification (HP)
|
100% |
2268
421.8 IPS |
|
|
Image Classification (Q)
|
100% |
3190
593.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2591
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2576
41.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3998
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3679
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3713
4.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
8597
10.2 IPS |
|
|
Object Detection (SP)
|
98% |
1905
151.6 IPS |
|
|
Object Detection (HP)
|
98% |
1973
157.0 IPS |
|
|
Object Detection (Q)
|
83% |
2911
235.1 IPS |
|
|
Face Detection (SP)
|
100% |
3806
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
3974
47.2 IPS |
|
|
Face Detection (Q)
|
95% |
6850
81.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3755
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3670
28.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5931
54.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9693
12.6 IPS |
|
|
Style Transfer (HP)
|
89% |
9637
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
18176
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1924
71.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2106
77.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5019
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
828
1.11 KIPS |
|
|
Text Classification (HP)
|
99% |
928
1.24 KIPS |
|
|
Text Classification (Q)
|
88% |
1449
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1685
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1587
27.3 IPS |
|
|
Machine Translation (Q)
|
50% |
779
27.6 IPS |
