samsung SM-X820
Geekbench AI Score
1226
Single Precision Score
5163
Half Precision Score
4928
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Betancd |
| Upload Date | October 31 2024 04:55 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1215
225.9 IPS |
|
|
Image Classification (HP)
|
100% |
4452
827.9 IPS |
|
|
Image Classification (Q)
|
99% |
9203
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
679
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4161
67.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1856
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8877
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18394
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
75156
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
722
57.2 IPS |
|
|
Object Detection (HP)
|
100% |
4671
370.5 IPS |
|
|
Object Detection (Q)
|
86% |
5689
457.6 IPS |
|
|
Face Detection (SP)
|
100% |
3156
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
12905
153.3 IPS |
|
|
Face Detection (Q)
|
97% |
12113
144.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1178
9.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
19427
149.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
32663
310.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2609
3.35 IPS |
|
|
Style Transfer (HP)
|
100% |
697
0.90 IPS |
|
|
Style Transfer (Q)
|
30% |
407
6.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2917
107.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10899
402.4 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8121
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
132
175.9 IPS |
|
|
Text Classification (HP)
|
97% |
2169
2.90 KIPS |
|
|
Text Classification (Q)
|
73% |
2094
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
390
6.72 IPS |
|
|
Machine Translation (HP)
|
100% |
2050
35.3 IPS |
|
|
Machine Translation (Q)
|
60% |
423
9.52 IPS |
