samsung SM-S721B
Geekbench AI Score
1012
Single Precision Score
1849
Half Precision Score
1381
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 15 2025 09:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
662
123.1 IPS |
|
|
Image Classification (HP)
|
100% |
1024
190.4 IPS |
|
|
Image Classification (Q)
|
100% |
1032
191.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1163
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2033
33.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2036
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5044
5.89 IPS |
|
|
Pose Estimation (HP)
|
99% |
10855
12.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10393
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
444
35.2 IPS |
|
|
Object Detection (HP)
|
99% |
790
62.7 IPS |
|
|
Object Detection (Q)
|
84% |
715
57.7 IPS |
|
|
Face Detection (SP)
|
100% |
1736
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
3353
39.8 IPS |
|
|
Face Detection (Q)
|
97% |
2530
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2684
20.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4531
35.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
3824
36.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10019
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18273
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19165
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1618
59.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2600
96.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2603
96.5 IPS |
|
|
Text Classification (SP)
|
29% |
19
333.0 IPS |
|
|
Text Classification (HP)
|
35% |
60
542.5 IPS |
|
|
Text Classification (Q)
|
30% |
28
449.1 IPS |
|
|
Machine Translation (SP)
|
100% |
459
7.90 IPS |
|
|
Machine Translation (HP)
|
100% |
607
10.5 IPS |
|
|
Machine Translation (Q)
|
42% |
120
7.75 IPS |
