samsung SM-S721B
Geekbench AI Score
1306
Single Precision Score
2447
Half Precision Score
1781
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 13 2025 09:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
789
146.8 IPS |
|
|
Image Classification (HP)
|
100% |
1551
288.5 IPS |
|
|
Image Classification (Q)
|
100% |
1267
235.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2549
41.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2225
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6455
7.53 IPS |
|
|
Pose Estimation (HP)
|
99% |
13382
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12648
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
596
47.3 IPS |
|
|
Object Detection (HP)
|
99% |
1043
82.8 IPS |
|
|
Object Detection (Q)
|
84% |
1143
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
2254
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
4492
53.4 IPS |
|
|
Face Detection (Q)
|
97% |
3376
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3498
27.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5947
46.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
4582
44.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12614
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24632
31.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22691
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1824
67.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3390
125.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3578
132.6 IPS |
|
|
Text Classification (SP)
|
29% |
26
445.2 IPS |
|
|
Text Classification (HP)
|
35% |
62
561.4 IPS |
|
|
Text Classification (Q)
|
29% |
32
556.5 IPS |
|
|
Machine Translation (SP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (Q)
|
42% |
197
12.8 IPS |
