samsung SM-S721B
Geekbench AI Score
1708
Single Precision Score
1516
Half Precision Score
1518
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Clyde6790p |
| Upload Date | May 11 2025 11:16 AM |
| Views | 6 |
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% |
1069
198.7 IPS |
|
|
Image Classification (HP)
|
100% |
1032
191.9 IPS |
|
|
Image Classification (Q)
|
99% |
975
181.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2048
33.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1878
30.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3544
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2393
2.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
2344
2.75 IPS |
|
|
Object Detection (SP)
|
100% |
956
75.8 IPS |
|
|
Object Detection (HP)
|
100% |
769
61.0 IPS |
|
|
Object Detection (Q)
|
86% |
727
58.4 IPS |
|
|
Face Detection (SP)
|
100% |
3147
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
3289
39.1 IPS |
|
|
Face Detection (Q)
|
97% |
2906
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3145
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2330
18.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1952
18.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9008
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7070
9.09 IPS |
|
|
Style Transfer (Q)
|
98% |
7195
9.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1495
55.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1266
46.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1442
53.4 IPS |
|
|
Text Classification (SP)
|
100% |
377
503.6 IPS |
|
|
Text Classification (HP)
|
100% |
396
529.0 IPS |
|
|
Text Classification (Q)
|
91% |
673
904.4 IPS |
|
|
Machine Translation (SP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (Q)
|
57% |
526
12.8 IPS |
