samsung SM-S721B
Geekbench AI Score
1632
Single Precision Score
1468
Half Precision Score
1411
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 04:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
881
163.8 IPS |
|
|
Image Classification (HP)
|
100% |
866
161.1 IPS |
|
|
Image Classification (Q)
|
99% |
626
116.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1676
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1788
29.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1739
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3467
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2434
2.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
2327
2.73 IPS |
|
|
Object Detection (SP)
|
100% |
864
68.5 IPS |
|
|
Object Detection (HP)
|
100% |
762
60.4 IPS |
|
|
Object Detection (Q)
|
86% |
741
59.6 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
3125
37.1 IPS |
|
|
Face Detection (Q)
|
97% |
2899
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3109
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2362
18.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1946
18.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8979
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7175
9.22 IPS |
|
|
Style Transfer (Q)
|
98% |
7134
9.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1197
44.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1114
41.3 IPS |
|
|
Text Classification (SP)
|
100% |
411
548.2 IPS |
|
|
Text Classification (HP)
|
100% |
418
558.3 IPS |
|
|
Text Classification (Q)
|
91% |
704
946.3 IPS |
|
|
Machine Translation (SP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (Q)
|
57% |
530
12.9 IPS |
