samsung SM-S721B
Geekbench AI Score
1578
Single Precision Score
1367
Half Precision Score
1338
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 01:42 PM |
| 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% |
599
111.5 IPS |
|
|
Image Classification (HP)
|
100% |
557
103.5 IPS |
|
|
Image Classification (Q)
|
99% |
520
97.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1478
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3597
4.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2485
2.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
2464
2.89 IPS |
|
|
Object Detection (SP)
|
100% |
876
69.5 IPS |
|
|
Object Detection (HP)
|
100% |
644
51.1 IPS |
|
|
Object Detection (Q)
|
86% |
619
49.7 IPS |
|
|
Face Detection (SP)
|
100% |
2480
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
3008
35.7 IPS |
|
|
Face Detection (Q)
|
97% |
2508
29.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3082
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2445
18.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2035
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9173
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7438
9.56 IPS |
|
|
Style Transfer (Q)
|
98% |
7395
9.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1660
61.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1044
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1076
39.9 IPS |
|
|
Text Classification (SP)
|
100% |
429
572.9 IPS |
|
|
Text Classification (HP)
|
100% |
439
586.0 IPS |
|
|
Text Classification (Q)
|
91% |
716
962.3 IPS |
|
|
Machine Translation (SP)
|
100% |
643
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (Q)
|
57% |
543
13.3 IPS |
