samsung SM-S721B
Geekbench AI Score
2568
Single Precision Score
2578
Half Precision Score
4175
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 03:29 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% |
1869
347.6 IPS |
|
|
Image Classification (HP)
|
100% |
2132
396.4 IPS |
|
|
Image Classification (Q)
|
100% |
3541
658.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2562
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2521
40.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4009
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3832
4.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
3728
4.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
8629
10.2 IPS |
|
|
Object Detection (SP)
|
98% |
1923
153.0 IPS |
|
|
Object Detection (HP)
|
98% |
1879
149.6 IPS |
|
|
Object Detection (Q)
|
83% |
3037
245.3 IPS |
|
|
Face Detection (SP)
|
100% |
3937
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
3987
47.4 IPS |
|
|
Face Detection (Q)
|
95% |
7035
84.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3486
26.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3381
26.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
6449
59.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9456
12.3 IPS |
|
|
Style Transfer (HP)
|
89% |
9413
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18752
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1950
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1985
73.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4798
177.8 IPS |
|
|
Text Classification (SP)
|
100% |
853
1.14 KIPS |
|
|
Text Classification (HP)
|
99% |
874
1.17 KIPS |
|
|
Text Classification (Q)
|
88% |
1325
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1643
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1569
27.0 IPS |
|
|
Machine Translation (Q)
|
50% |
801
28.5 IPS |
