samsung SM-S721B
Geekbench AI Score
2299
Single Precision Score
2182
Half Precision Score
3205
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 06:33 PM |
| Views | 2 |
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% |
2113
393.0 IPS |
|
|
Image Classification (HP)
|
100% |
1705
317.0 IPS |
|
|
Image Classification (Q)
|
100% |
2971
552.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3551
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3636
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
3648
4.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
7218
8.56 IPS |
|
|
Object Detection (SP)
|
98% |
1698
135.1 IPS |
|
|
Object Detection (HP)
|
98% |
1703
135.5 IPS |
|
|
Object Detection (Q)
|
83% |
1791
144.7 IPS |
|
|
Face Detection (SP)
|
100% |
3048
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (Q)
|
95% |
5555
66.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3712
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3754
29.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5843
53.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9188
11.9 IPS |
|
|
Style Transfer (HP)
|
89% |
7475
9.70 IPS |
|
|
Style Transfer (Q)
|
98% |
13511
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1580
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1615
59.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3433
127.2 IPS |
|
|
Text Classification (SP)
|
100% |
583
778.4 IPS |
|
|
Text Classification (HP)
|
99% |
626
835.3 IPS |
|
|
Text Classification (Q)
|
88% |
877
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1434
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1133
19.5 IPS |
|
|
Machine Translation (Q)
|
50% |
637
22.6 IPS |
