samsung SM-S721B
Geekbench AI Score
2568
Single Precision Score
2624
Half Precision Score
4116
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 01:36 PM |
| 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% |
1737
323.1 IPS |
|
|
Image Classification (HP)
|
100% |
2252
418.8 IPS |
|
|
Image Classification (Q)
|
100% |
3213
597.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2498
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2457
39.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3945
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3726
4.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
3675
4.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
8704
10.3 IPS |
|
|
Object Detection (SP)
|
98% |
1943
154.6 IPS |
|
|
Object Detection (HP)
|
98% |
1999
159.1 IPS |
|
|
Object Detection (Q)
|
83% |
3087
249.4 IPS |
|
|
Face Detection (SP)
|
100% |
3977
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
3956
47.0 IPS |
|
|
Face Detection (Q)
|
95% |
6976
83.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3689
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3687
28.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
6794
62.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9570
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9580
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17788
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1991
73.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1966
72.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4748
175.9 IPS |
|
|
Text Classification (SP)
|
100% |
825
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
818
1.09 KIPS |
|
|
Text Classification (Q)
|
88% |
1212
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1727
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1699
29.3 IPS |
|
|
Machine Translation (Q)
|
50% |
846
30.0 IPS |
