samsung SM-S721B
Geekbench AI Score
1276
Single Precision Score
2324
Half Precision Score
1729
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | August 25 2025 04:30 PM |
| Views | 5 |
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% |
794
147.6 IPS |
|
|
Image Classification (HP)
|
100% |
1429
265.7 IPS |
|
|
Image Classification (Q)
|
100% |
1348
250.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1390
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2636
42.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2368
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6439
7.51 IPS |
|
|
Pose Estimation (HP)
|
99% |
12682
14.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12551
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
586
46.5 IPS |
|
|
Object Detection (HP)
|
99% |
1002
79.5 IPS |
|
|
Object Detection (Q)
|
84% |
940
75.9 IPS |
|
|
Face Detection (SP)
|
100% |
2565
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
4594
54.6 IPS |
|
|
Face Detection (Q)
|
97% |
4032
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3707
28.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
6636
51.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
4721
45.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12631
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18654
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19435
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1644
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3195
118.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2933
108.7 IPS |
|
|
Text Classification (SP)
|
29% |
20
343.1 IPS |
|
|
Text Classification (HP)
|
35% |
56
512.4 IPS |
|
|
Text Classification (Q)
|
30% |
31
503.2 IPS |
|
|
Machine Translation (SP)
|
100% |
700
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (Q)
|
42% |
189
12.2 IPS |
