samsung SM-S721B
Geekbench AI Score
2142
Single Precision Score
2053
Half Precision Score
3041
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 11 2024 12:16 AM |
| 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% |
1895
352.4 IPS |
|
|
Image Classification (HP)
|
100% |
1540
286.3 IPS |
|
|
Image Classification (Q)
|
100% |
2941
546.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3497
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3290
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
3570
4.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
6430
7.63 IPS |
|
|
Object Detection (SP)
|
98% |
1531
121.9 IPS |
|
|
Object Detection (HP)
|
98% |
1326
105.5 IPS |
|
|
Object Detection (Q)
|
83% |
1768
142.8 IPS |
|
|
Face Detection (SP)
|
100% |
3202
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
2565
30.5 IPS |
|
|
Face Detection (Q)
|
95% |
4252
50.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2961
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3094
23.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4622
42.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7761
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
7858
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18413
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1616
59.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1635
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3246
120.3 IPS |
|
|
Text Classification (SP)
|
100% |
592
790.5 IPS |
|
|
Text Classification (HP)
|
99% |
592
790.8 IPS |
|
|
Text Classification (Q)
|
88% |
882
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1312
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1312
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
559
19.8 IPS |
