samsung SM-X820
Geekbench AI Score
2074
Single Precision Score
2131
Half Precision Score
3100
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 01:13 PM |
| Views | 4 |
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% |
1244
231.3 IPS |
|
|
Image Classification (HP)
|
100% |
1593
296.3 IPS |
|
|
Image Classification (Q)
|
100% |
2635
490.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2078
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2034
33.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2810
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3166
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
3038
3.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
5698
6.76 IPS |
|
|
Object Detection (SP)
|
98% |
1369
108.9 IPS |
|
|
Object Detection (HP)
|
98% |
1332
106.0 IPS |
|
|
Object Detection (Q)
|
83% |
2075
167.6 IPS |
|
|
Face Detection (SP)
|
100% |
3012
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
3125
37.1 IPS |
|
|
Face Detection (Q)
|
95% |
4847
57.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3293
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3521
27.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5320
48.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7544
9.79 IPS |
|
|
Style Transfer (HP)
|
89% |
7529
9.77 IPS |
|
|
Style Transfer (Q)
|
98% |
14264
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1668
61.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1664
61.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3002
111.2 IPS |
|
|
Text Classification (SP)
|
100% |
654
872.4 IPS |
|
|
Text Classification (HP)
|
99% |
653
872.3 IPS |
|
|
Text Classification (Q)
|
88% |
1158
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1616
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1640
28.3 IPS |
|
|
Machine Translation (Q)
|
50% |
734
26.1 IPS |
