samsung SM-S721U1
Geekbench AI Score
2546
Single Precision Score
2546
Half Precision Score
4067
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 18 2025 02:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1827
339.7 IPS |
|
|
Image Classification (HP)
|
100% |
2113
393.0 IPS |
|
|
Image Classification (Q)
|
100% |
3239
602.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2465
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3920
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3494
4.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
3328
3.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
7589
9.00 IPS |
|
|
Object Detection (SP)
|
98% |
1912
152.1 IPS |
|
|
Object Detection (HP)
|
98% |
1993
158.6 IPS |
|
|
Object Detection (Q)
|
83% |
3030
244.7 IPS |
|
|
Face Detection (SP)
|
100% |
3978
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
3947
46.9 IPS |
|
|
Face Detection (Q)
|
95% |
6615
79.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3480
26.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3440
26.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6372
58.4 IPS |
|
|
Style Transfer (SP)
|
89% |
9597
12.5 IPS |
|
|
Style Transfer (HP)
|
89% |
9618
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19069
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1974
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1988
73.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4882
180.9 IPS |
|
|
Text Classification (SP)
|
100% |
846
1.13 KIPS |
|
|
Text Classification (HP)
|
99% |
856
1.14 KIPS |
|
|
Text Classification (Q)
|
88% |
1304
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1720
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1637
28.2 IPS |
|
|
Machine Translation (Q)
|
50% |
829
29.4 IPS |
