samsung SM-S721U
Geekbench AI Score
2292
Single Precision Score
2335
Half Precision Score
3554
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 08:17 AM |
| Views | 2 |
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% |
1905
354.3 IPS |
|
|
Image Classification (HP)
|
100% |
2157
401.1 IPS |
|
|
Image Classification (Q)
|
100% |
3096
575.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2254
36.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3550
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3340
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
3278
3.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
7999
9.49 IPS |
|
|
Object Detection (SP)
|
98% |
1871
148.9 IPS |
|
|
Object Detection (HP)
|
98% |
1889
150.3 IPS |
|
|
Object Detection (Q)
|
83% |
3015
243.5 IPS |
|
|
Face Detection (SP)
|
100% |
3810
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
3663
43.5 IPS |
|
|
Face Detection (Q)
|
95% |
5899
70.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3741
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3852
29.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5998
54.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8646
11.2 IPS |
|
|
Style Transfer (HP)
|
89% |
8450
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
12975
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1603
59.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1709
63.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3410
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
612
816.9 IPS |
|
|
Text Classification (HP)
|
99% |
639
852.3 IPS |
|
|
Text Classification (Q)
|
88% |
1232
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1180
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (Q)
|
50% |
630
22.4 IPS |
