samsung SM-X820
Geekbench AI Score
1197
Single Precision Score
5386
Half Precision Score
5439
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 31 2024 02:43 PM |
| Views | 1 |
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% |
1184
220.2 IPS |
|
|
Image Classification (HP)
|
100% |
4520
840.6 IPS |
|
|
Image Classification (Q)
|
99% |
10290
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
674
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4166
67.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1857
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8761
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18472
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
75233
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
727
57.7 IPS |
|
|
Object Detection (HP)
|
100% |
4762
377.8 IPS |
|
|
Object Detection (Q)
|
86% |
5794
466.1 IPS |
|
|
Face Detection (SP)
|
100% |
3379
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
12185
144.8 IPS |
|
|
Face Detection (Q)
|
97% |
11736
140.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
968
7.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
19626
151.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
34900
331.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2599
3.34 IPS |
|
|
Style Transfer (HP)
|
100% |
957
1.23 IPS |
|
|
Style Transfer (Q)
|
30% |
620
9.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2941
108.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10986
405.6 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8345
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
126
168.0 IPS |
|
|
Text Classification (HP)
|
97% |
2207
2.96 KIPS |
|
|
Text Classification (Q)
|
73% |
2128
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (HP)
|
100% |
2238
38.5 IPS |
|
|
Machine Translation (Q)
|
60% |
604
13.6 IPS |
