samsung SM-S721B
Geekbench AI Score
1854
Single Precision Score
1923
Half Precision Score
2866
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Clyde6790p |
| Upload Date | May 11 2025 11:07 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
934
173.7 IPS |
|
|
Image Classification (HP)
|
100% |
1139
211.9 IPS |
|
|
Image Classification (Q)
|
100% |
2756
512.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1991
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2420
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3151
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3101
3.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
6499
7.71 IPS |
|
|
Object Detection (SP)
|
98% |
1224
97.4 IPS |
|
|
Object Detection (HP)
|
98% |
1373
109.3 IPS |
|
|
Object Detection (Q)
|
83% |
1930
155.9 IPS |
|
|
Face Detection (SP)
|
100% |
3134
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
3204
38.1 IPS |
|
|
Face Detection (Q)
|
95% |
4842
57.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3076
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2919
22.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4550
41.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7538
9.78 IPS |
|
|
Style Transfer (HP)
|
89% |
7494
9.73 IPS |
|
|
Style Transfer (Q)
|
98% |
13465
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1544
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3222
119.4 IPS |
|
|
Text Classification (SP)
|
100% |
534
713.4 IPS |
|
|
Text Classification (HP)
|
99% |
567
756.2 IPS |
|
|
Text Classification (Q)
|
88% |
843
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1117
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1380
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
556
19.7 IPS |
