samsung SM-S721W
Geekbench AI Score
1611
Single Precision Score
1395
Half Precision Score
1370
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Alan156 |
| Upload Date | December 02 2024 08:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S721W |
| Model ID | samsung SM-S721W |
| 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% |
661
122.9 IPS |
|
|
Image Classification (HP)
|
100% |
599
111.5 IPS |
|
|
Image Classification (Q)
|
99% |
557
103.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1548
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1607
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1606
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3546
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2506
2.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
2455
2.88 IPS |
|
|
Object Detection (SP)
|
100% |
874
69.3 IPS |
|
|
Object Detection (HP)
|
100% |
653
51.8 IPS |
|
|
Object Detection (Q)
|
86% |
600
48.3 IPS |
|
|
Face Detection (SP)
|
100% |
2604
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (Q)
|
97% |
2700
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3046
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2538
19.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2018
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9223
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7422
9.54 IPS |
|
|
Style Transfer (Q)
|
98% |
7509
9.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1713
63.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1056
39.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1056
39.1 IPS |
|
|
Text Classification (SP)
|
100% |
446
595.9 IPS |
|
|
Text Classification (HP)
|
100% |
451
601.8 IPS |
|
|
Text Classification (Q)
|
91% |
730
981.5 IPS |
|
|
Machine Translation (SP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (Q)
|
57% |
564
13.8 IPS |
