samsung SM-S721B
Geekbench AI Score
2138
Single Precision Score
2161
Half Precision Score
3019
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Abdelrahman7680 |
| Upload Date | July 14 2025 08:28 AM |
| Views | 12 |
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% |
1731
321.9 IPS |
|
|
Image Classification (HP)
|
100% |
2145
399.0 IPS |
|
|
Image Classification (Q)
|
100% |
2921
543.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3581
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3618
4.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
3085
3.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
6463
7.67 IPS |
|
|
Object Detection (SP)
|
98% |
1367
108.8 IPS |
|
|
Object Detection (HP)
|
98% |
1549
123.3 IPS |
|
|
Object Detection (Q)
|
83% |
1826
147.5 IPS |
|
|
Face Detection (SP)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (Q)
|
95% |
4559
54.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3068
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3078
23.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4892
44.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7877
10.2 IPS |
|
|
Style Transfer (HP)
|
89% |
7485
9.72 IPS |
|
|
Style Transfer (Q)
|
98% |
13407
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1589
58.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1613
59.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3419
126.7 IPS |
|
|
Text Classification (SP)
|
100% |
573
764.9 IPS |
|
|
Text Classification (HP)
|
99% |
574
766.8 IPS |
|
|
Text Classification (Q)
|
88% |
886
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1473
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1430
24.6 IPS |
|
|
Machine Translation (Q)
|
50% |
563
20.0 IPS |
