samsung SM-S721B
Geekbench AI Score
2610
Single Precision Score
2620
Half Precision Score
4179
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 10:14 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% |
1952
363.0 IPS |
|
|
Image Classification (HP)
|
100% |
1975
367.3 IPS |
|
|
Image Classification (Q)
|
100% |
3121
580.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2541
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2451
39.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3943
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3747
4.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
3703
4.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
8632
10.2 IPS |
|
|
Object Detection (SP)
|
98% |
1915
152.4 IPS |
|
|
Object Detection (HP)
|
98% |
1958
155.8 IPS |
|
|
Object Detection (Q)
|
83% |
2906
234.7 IPS |
|
|
Face Detection (SP)
|
100% |
3886
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
3970
47.2 IPS |
|
|
Face Detection (Q)
|
95% |
6757
80.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3748
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3730
28.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
6332
58.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9313
12.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9530
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18818
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2046
75.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1955
72.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4999
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
870
1.16 KIPS |
|
|
Text Classification (HP)
|
99% |
947
1.26 KIPS |
|
|
Text Classification (Q)
|
88% |
1560
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1709
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1666
28.7 IPS |
|
|
Machine Translation (Q)
|
50% |
840
29.8 IPS |
