samsung SM-S721B
Geekbench AI Score
1586
Single Precision Score
1420
Half Precision Score
1427
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 21 2024 02:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
602
112.0 IPS |
|
|
Image Classification (HP)
|
100% |
674
125.4 IPS |
|
|
Image Classification (Q)
|
99% |
654
122.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1576
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1762
28.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1623
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3589
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2520
2.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
2474
2.90 IPS |
|
|
Object Detection (SP)
|
100% |
898
71.2 IPS |
|
|
Object Detection (HP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (Q)
|
86% |
619
49.8 IPS |
|
|
Face Detection (SP)
|
100% |
2525
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
2894
34.4 IPS |
|
|
Face Detection (Q)
|
97% |
2427
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3092
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2492
19.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2098
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9294
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7502
9.64 IPS |
|
|
Style Transfer (Q)
|
98% |
7514
9.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1763
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1128
41.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1441
53.4 IPS |
|
|
Text Classification (SP)
|
100% |
394
526.5 IPS |
|
|
Text Classification (HP)
|
100% |
421
562.0 IPS |
|
|
Text Classification (Q)
|
91% |
703
944.9 IPS |
|
|
Machine Translation (SP)
|
100% |
657
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (Q)
|
57% |
558
13.6 IPS |
