samsung SM-X820
Geekbench AI Score
1993
Single Precision Score
2063
Half Precision Score
2978
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 11:36 AM |
| 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% |
1260
234.4 IPS |
|
|
Image Classification (HP)
|
100% |
1635
304.0 IPS |
|
|
Image Classification (Q)
|
100% |
2618
486.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2081
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2820
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3177
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3084
3.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
5843
6.93 IPS |
|
|
Object Detection (SP)
|
98% |
1247
99.3 IPS |
|
|
Object Detection (HP)
|
98% |
1375
109.4 IPS |
|
|
Object Detection (Q)
|
83% |
1982
160.1 IPS |
|
|
Face Detection (SP)
|
100% |
2916
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
3024
35.9 IPS |
|
|
Face Detection (Q)
|
95% |
4666
55.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3190
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3183
24.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4787
43.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6554
8.51 IPS |
|
|
Style Transfer (HP)
|
89% |
6367
8.26 IPS |
|
|
Style Transfer (Q)
|
98% |
11907
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1433
52.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1419
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2988
110.7 IPS |
|
|
Text Classification (SP)
|
100% |
653
871.2 IPS |
|
|
Text Classification (HP)
|
99% |
648
865.0 IPS |
|
|
Text Classification (Q)
|
88% |
1140
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1674
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1705
29.4 IPS |
|
|
Machine Translation (Q)
|
50% |
709
25.2 IPS |
