samsung SM-S721B
Geekbench AI Score
1599
Single Precision Score
1349
Half Precision Score
1366
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 22 2025 03:23 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% |
627
116.5 IPS |
|
|
Image Classification (HP)
|
100% |
590
109.7 IPS |
|
|
Image Classification (Q)
|
99% |
562
104.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1576
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1729
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1517
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3504
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2460
2.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
2421
2.84 IPS |
|
|
Object Detection (SP)
|
100% |
884
70.1 IPS |
|
|
Object Detection (HP)
|
100% |
653
51.8 IPS |
|
|
Object Detection (Q)
|
86% |
632
50.8 IPS |
|
|
Face Detection (SP)
|
100% |
2903
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
2265
26.9 IPS |
|
|
Face Detection (Q)
|
97% |
2709
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3277
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2458
19.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2054
19.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9246
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7535
9.69 IPS |
|
|
Style Transfer (Q)
|
98% |
7500
9.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1575
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1106
40.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1081
40.0 IPS |
|
|
Text Classification (SP)
|
100% |
415
553.6 IPS |
|
|
Text Classification (HP)
|
100% |
430
574.5 IPS |
|
|
Text Classification (Q)
|
91% |
722
969.8 IPS |
|
|
Machine Translation (SP)
|
100% |
624
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (Q)
|
57% |
535
13.1 IPS |
