samsung SM-S721B
Geekbench AI Score
3600
Single Precision Score
25044
Half Precision Score
47015
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | eldavido |
| Upload Date | December 22 2024 02:30 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1634
303.9 IPS |
|
|
Image Classification (HP)
|
100% |
16717
3.11 KIPS |
|
|
Image Classification (Q)
|
100% |
33212
6.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3099
50.2 IPS |
|
|
Image Segmentation (HP)
|
97% |
12595
204.9 IPS |
|
|
Image Segmentation (Q)
|
96% |
28665
466.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14728
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
86862
101.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
302706
354.5 IPS |
|
|
Object Detection (SP)
|
100% |
1611
127.8 IPS |
|
|
Object Detection (HP)
|
100% |
13888
1.10 KIPS |
|
|
Object Detection (Q)
|
90% |
21541
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
5200
61.8 IPS |
|
|
Face Detection (HP)
|
100% |
39835
473.3 IPS |
|
|
Face Detection (Q)
|
97% |
100868
1.20 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5729
44.1 IPS |
|
|
Depth Estimation (HP)
|
79% |
56738
450.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
106250
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29982
38.5 IPS |
|
|
Style Transfer (HP)
|
99% |
173077
222.5 IPS |
|
|
Style Transfer (Q)
|
98% |
267556
345.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4224
156.0 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22980
864.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59897
2.22 KIPS |
|
|
Text Classification (SP)
|
100% |
632
843.1 IPS |
|
|
Text Classification (HP)
|
100% |
7123
9.51 KIPS |
|
|
Text Classification (Q)
|
93% |
8808
11.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1278
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5968
102.8 IPS |
|
|
Machine Translation (Q)
|
56% |
5619
144.1 IPS |
