samsung SM-S721B
Geekbench AI Score
1554
Single Precision Score
1365
Half Precision Score
1357
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 05:34 AM |
| Views | 1 |
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% |
593
110.2 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.7 IPS |
|
|
Image Classification (Q)
|
99% |
503
93.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1551
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1678
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1460
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3485
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2446
2.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
2429
2.85 IPS |
|
|
Object Detection (SP)
|
100% |
865
68.6 IPS |
|
|
Object Detection (HP)
|
100% |
640
50.7 IPS |
|
|
Object Detection (Q)
|
86% |
610
49.0 IPS |
|
|
Face Detection (SP)
|
100% |
2409
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
3070
36.5 IPS |
|
|
Face Detection (Q)
|
97% |
2810
33.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3068
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2484
19.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2055
19.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9142
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7479
9.61 IPS |
|
|
Style Transfer (Q)
|
98% |
7432
9.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1688
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1117
41.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1206
44.7 IPS |
|
|
Text Classification (SP)
|
100% |
419
559.1 IPS |
|
|
Text Classification (HP)
|
100% |
423
564.3 IPS |
|
|
Text Classification (Q)
|
91% |
707
949.8 IPS |
|
|
Machine Translation (SP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (Q)
|
57% |
533
13.0 IPS |
