samsung SM-S721U1
Geekbench AI Score
1514
Single Precision Score
1350
Half Precision Score
1309
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 09 2025 12:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S721U1 |
| Model ID | samsung SM-S721U1 |
| 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% |
598
111.2 IPS |
|
|
Image Classification (HP)
|
100% |
586
108.9 IPS |
|
|
Image Classification (Q)
|
99% |
552
103.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1607
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1645
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1474
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3541
4.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2444
2.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
2374
2.78 IPS |
|
|
Object Detection (SP)
|
100% |
759
60.2 IPS |
|
|
Object Detection (HP)
|
100% |
649
51.5 IPS |
|
|
Object Detection (Q)
|
86% |
606
48.8 IPS |
|
|
Face Detection (SP)
|
100% |
2649
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
3074
36.5 IPS |
|
|
Face Detection (Q)
|
97% |
2348
28.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3528
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2476
19.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2037
19.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9183
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7373
9.48 IPS |
|
|
Style Transfer (Q)
|
98% |
7194
9.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1297
47.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1052
38.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1098
40.7 IPS |
|
|
Text Classification (SP)
|
100% |
380
507.3 IPS |
|
|
Text Classification (HP)
|
100% |
401
534.6 IPS |
|
|
Text Classification (Q)
|
91% |
677
909.8 IPS |
|
|
Machine Translation (SP)
|
100% |
581
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
559
9.62 IPS |
|
|
Machine Translation (Q)
|
57% |
495
12.1 IPS |
