samsung SM-S721B
Geekbench AI Score
2048
Single Precision Score
2046
Half Precision Score
3059
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:44 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% |
1698
315.8 IPS |
|
|
Image Classification (HP)
|
100% |
1768
328.9 IPS |
|
|
Image Classification (Q)
|
100% |
3162
588.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1779
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3603
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3242
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3220
3.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
6443
7.64 IPS |
|
|
Object Detection (SP)
|
98% |
1346
107.1 IPS |
|
|
Object Detection (HP)
|
98% |
1526
121.4 IPS |
|
|
Object Detection (Q)
|
83% |
1887
152.4 IPS |
|
|
Face Detection (SP)
|
100% |
3149
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
3039
36.1 IPS |
|
|
Face Detection (Q)
|
95% |
4525
54.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3112
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3029
23.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4593
42.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7435
9.65 IPS |
|
|
Style Transfer (HP)
|
89% |
7329
9.51 IPS |
|
|
Style Transfer (Q)
|
98% |
13377
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1594
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1602
59.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3246
120.3 IPS |
|
|
Text Classification (SP)
|
100% |
545
728.0 IPS |
|
|
Text Classification (HP)
|
99% |
561
749.2 IPS |
|
|
Text Classification (Q)
|
88% |
921
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1391
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1377
23.7 IPS |
|
|
Machine Translation (Q)
|
50% |
625
22.2 IPS |
