samsung SM-S721B
Geekbench AI Score
1867
Single Precision Score
1940
Half Precision Score
2673
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1177
218.9 IPS |
|
|
Image Classification (HP)
|
100% |
1477
274.6 IPS |
|
|
Image Classification (Q)
|
100% |
2021
375.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1652
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1648
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2393
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3078
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2925
3.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
5961
7.07 IPS |
|
|
Object Detection (SP)
|
98% |
1273
101.3 IPS |
|
|
Object Detection (HP)
|
98% |
1440
114.6 IPS |
|
|
Object Detection (Q)
|
83% |
1774
143.3 IPS |
|
|
Face Detection (SP)
|
100% |
3163
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
3155
37.5 IPS |
|
|
Face Detection (Q)
|
95% |
4523
54.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3061
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3086
23.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4601
42.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7036
9.13 IPS |
|
|
Style Transfer (HP)
|
89% |
7088
9.20 IPS |
|
|
Style Transfer (Q)
|
98% |
12419
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1435
53.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1528
56.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3010
111.5 IPS |
|
|
Text Classification (SP)
|
100% |
526
702.6 IPS |
|
|
Text Classification (HP)
|
99% |
536
715.7 IPS |
|
|
Text Classification (Q)
|
88% |
803
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1315
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1309
22.5 IPS |
|
|
Machine Translation (Q)
|
50% |
583
20.7 IPS |
