samsung SM-X820
Geekbench AI Score
1206
Single Precision Score
5146
Half Precision Score
4921
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 24 2025 11:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-X820 |
| Model ID | samsung SM-X820 |
| Motherboard | gts10pwifi |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1157
215.2 IPS |
|
|
Image Classification (HP)
|
100% |
4445
826.6 IPS |
|
|
Image Classification (Q)
|
99% |
9260
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
682
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4213
68.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1858
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8861
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18570
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
75074
88.0 IPS |
|
|
Object Detection (SP)
|
100% |
719
57.1 IPS |
|
|
Object Detection (HP)
|
100% |
4690
372.0 IPS |
|
|
Object Detection (Q)
|
86% |
5739
461.7 IPS |
|
|
Face Detection (SP)
|
100% |
3395
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
11965
142.2 IPS |
|
|
Face Detection (Q)
|
97% |
11587
138.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
996
7.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
19543
150.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
33295
316.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2619
3.37 IPS |
|
|
Style Transfer (HP)
|
100% |
690
0.89 IPS |
|
|
Style Transfer (Q)
|
30% |
405
6.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2960
109.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10959
404.7 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8181
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
130
172.9 IPS |
|
|
Text Classification (HP)
|
97% |
2177
2.92 KIPS |
|
|
Text Classification (Q)
|
73% |
2065
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (HP)
|
100% |
2075
35.7 IPS |
|
|
Machine Translation (Q)
|
60% |
426
9.59 IPS |
