samsung SM-S721B
Geekbench AI Score
1613
Single Precision Score
1403
Half Precision Score
1367
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | eldavido |
| Upload Date | December 22 2024 02:18 PM |
| Views | 9 |
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% |
603
112.1 IPS |
|
|
Image Classification (HP)
|
100% |
559
104.0 IPS |
|
|
Image Classification (Q)
|
99% |
570
106.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1502
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1688
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1461
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3579
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2505
2.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
2464
2.89 IPS |
|
|
Object Detection (SP)
|
100% |
915
72.6 IPS |
|
|
Object Detection (HP)
|
100% |
651
51.6 IPS |
|
|
Object Detection (Q)
|
86% |
606
48.7 IPS |
|
|
Face Detection (SP)
|
100% |
2632
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
2531
30.1 IPS |
|
|
Face Detection (Q)
|
97% |
2332
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3107
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2449
18.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1969
18.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9155
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7466
9.60 IPS |
|
|
Style Transfer (Q)
|
98% |
7461
9.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1949
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1469
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1368
50.7 IPS |
|
|
Text Classification (SP)
|
100% |
426
569.0 IPS |
|
|
Text Classification (HP)
|
100% |
441
588.7 IPS |
|
|
Text Classification (Q)
|
91% |
717
963.1 IPS |
|
|
Machine Translation (SP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
641
11.0 IPS |
|
|
Machine Translation (Q)
|
57% |
548
13.4 IPS |
