samsung SM-S721U
Geekbench AI Score
2181
Single Precision Score
2145
Half Precision Score
3036
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 05:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S721U |
| Model ID | samsung SM-S721U |
| 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% |
2143
398.5 IPS |
|
|
Image Classification (HP)
|
100% |
2104
391.3 IPS |
|
|
Image Classification (Q)
|
100% |
3135
583.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2366
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3572
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3670
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3540
4.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
6461
7.66 IPS |
|
|
Object Detection (SP)
|
98% |
1406
111.9 IPS |
|
|
Object Detection (HP)
|
98% |
1373
109.2 IPS |
|
|
Object Detection (Q)
|
83% |
1924
155.4 IPS |
|
|
Face Detection (SP)
|
100% |
3269
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
3270
38.9 IPS |
|
|
Face Detection (Q)
|
95% |
4574
54.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2872
22.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3111
24.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4655
42.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7506
9.74 IPS |
|
|
Style Transfer (HP)
|
89% |
7538
9.79 IPS |
|
|
Style Transfer (Q)
|
98% |
13627
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1572
58.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1455
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3225
119.5 IPS |
|
|
Text Classification (SP)
|
100% |
561
748.2 IPS |
|
|
Text Classification (HP)
|
99% |
541
721.5 IPS |
|
|
Text Classification (Q)
|
88% |
843
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1499
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1424
24.5 IPS |
|
|
Machine Translation (Q)
|
50% |
607
21.5 IPS |
