samsung SM-S721B
Geekbench AI Score
820
Single Precision Score
812
Half Precision Score
1504
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 26 2025 08:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S721B |
| Model ID | samsung SM-S721B |
| Motherboard | exynos990 |
| Governor | performance |
| CPU Information | |
|---|---|
| Name | Samsung |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 4 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.50 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 7.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
408
75.9 IPS |
|
|
Image Classification (HP)
|
100% |
455
84.7 IPS |
|
|
Image Classification (Q)
|
100% |
831
154.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
471
7.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
473
7.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
1254
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1706
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
1737
2.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
2933
3.48 IPS |
|
|
Object Detection (SP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (HP)
|
100% |
370
29.3 IPS |
|
|
Object Detection (Q)
|
83% |
1088
87.9 IPS |
|
|
Face Detection (SP)
|
100% |
1097
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
1114
13.2 IPS |
|
|
Face Detection (Q)
|
95% |
2544
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1444
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1433
11.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2632
24.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3017
3.92 IPS |
|
|
Style Transfer (HP)
|
89% |
3043
3.95 IPS |
|
|
Style Transfer (Q)
|
98% |
6498
8.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
837
30.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
814
30.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1679
62.2 IPS |
|
|
Text Classification (SP)
|
100% |
423
565.2 IPS |
|
|
Text Classification (HP)
|
100% |
370
493.5 IPS |
|
|
Text Classification (Q)
|
88% |
711
959.5 IPS |
|
|
Machine Translation (SP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (Q)
|
50% |
343
12.2 IPS |
