samsung SM-S721B
Geekbench AI Score
3627
Single Precision Score
25114
Half Precision Score
46763
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | August 25 2025 04:59 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| 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% |
1645
305.8 IPS |
|
|
Image Classification (HP)
|
100% |
17162
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
32703
6.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3068
49.7 IPS |
|
|
Image Segmentation (HP)
|
97% |
12519
203.7 IPS |
|
|
Image Segmentation (Q)
|
96% |
28661
466.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14725
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
87178
101.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
303557
355.5 IPS |
|
|
Object Detection (SP)
|
100% |
1613
127.9 IPS |
|
|
Object Detection (HP)
|
100% |
14093
1.12 KIPS |
|
|
Object Detection (Q)
|
90% |
21651
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
5213
61.9 IPS |
|
|
Face Detection (HP)
|
100% |
39721
472.0 IPS |
|
|
Face Detection (Q)
|
97% |
98683
1.18 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5740
44.2 IPS |
|
|
Depth Estimation (HP)
|
79% |
56949
452.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
106962
1.03 KIPS |
|
|
Style Transfer (SP)
|
100% |
30080
38.7 IPS |
|
|
Style Transfer (HP)
|
99% |
173736
223.3 IPS |
|
|
Style Transfer (Q)
|
98% |
265521
342.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4225
156.0 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22882
863.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59292
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
678
904.9 IPS |
|
|
Text Classification (HP)
|
100% |
6962
9.29 KIPS |
|
|
Text Classification (Q)
|
93% |
8594
11.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6041
104.1 IPS |
|
|
Machine Translation (Q)
|
56% |
5685
145.8 IPS |
