samsung SM-X820
Geekbench AI Score
2023
Single Precision Score
2020
Half Precision Score
2901
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Quiltermatt |
| Upload Date | September 28 2024 07:55 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1651
307.0 IPS |
|
|
Image Classification (HP)
|
100% |
1674
311.3 IPS |
|
|
Image Classification (Q)
|
100% |
2622
487.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2094
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2055
33.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2816
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3170
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2670
3.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
5385
6.39 IPS |
|
|
Object Detection (SP)
|
98% |
1264
100.6 IPS |
|
|
Object Detection (HP)
|
98% |
1388
110.4 IPS |
|
|
Object Detection (Q)
|
83% |
1848
149.3 IPS |
|
|
Face Detection (SP)
|
100% |
2875
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
2902
34.5 IPS |
|
|
Face Detection (Q)
|
95% |
4460
53.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2954
22.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3002
23.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4560
41.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6331
8.22 IPS |
|
|
Style Transfer (HP)
|
89% |
6361
8.26 IPS |
|
|
Style Transfer (Q)
|
98% |
11855
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1440
53.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1458
53.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3009
111.5 IPS |
|
|
Text Classification (SP)
|
100% |
656
875.4 IPS |
|
|
Text Classification (HP)
|
99% |
656
875.7 IPS |
|
|
Text Classification (Q)
|
88% |
1140
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1634
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1680
28.9 IPS |
|
|
Machine Translation (Q)
|
50% |
697
24.7 IPS |
