samsung SM-S721B
Geekbench AI Score
3525
Single Precision Score
24679
Half Precision Score
46948
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 04:19 PM |
| Views | 2 |
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 | 2.11 GHz |
| Cluster 1 | 4 Cores @ 2.11 GHz |
| Cluster 2 | 3 Cores @ 2.59 GHz |
| Cluster 3 | 2 Cores @ 2.90 GHz |
| Cluster 4 | 1 Core @ 3.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1623
301.9 IPS |
|
|
Image Classification (HP)
|
100% |
17363
3.23 KIPS |
|
|
Image Classification (Q)
|
100% |
33238
6.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3002
48.7 IPS |
|
|
Image Segmentation (HP)
|
97% |
11984
194.9 IPS |
|
|
Image Segmentation (Q)
|
96% |
27828
452.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14232
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
87686
102.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
303056
354.9 IPS |
|
|
Object Detection (SP)
|
100% |
1607
127.5 IPS |
|
|
Object Detection (HP)
|
100% |
14011
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
21690
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
5013
59.6 IPS |
|
|
Face Detection (HP)
|
100% |
40408
480.1 IPS |
|
|
Face Detection (Q)
|
97% |
101990
1.22 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5515
42.5 IPS |
|
|
Depth Estimation (HP)
|
79% |
53550
425.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
105659
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
29070
37.4 IPS |
|
|
Style Transfer (HP)
|
99% |
157068
202.5 IPS |
|
|
Style Transfer (Q)
|
98% |
274830
354.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4034
149.0 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22085
830.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59415
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
643
857.9 IPS |
|
|
Text Classification (HP)
|
100% |
7104
9.48 KIPS |
|
|
Text Classification (Q)
|
93% |
8766
11.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6150
105.9 IPS |
|
|
Machine Translation (Q)
|
56% |
5548
142.3 IPS |
