samsung SM-X820
Geekbench AI Score
2049
Single Precision Score
2024
Half Precision Score
2960
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 04:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1711
318.1 IPS |
|
|
Image Classification (HP)
|
100% |
1697
315.7 IPS |
|
|
Image Classification (Q)
|
100% |
2632
489.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2060
33.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2826
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3137
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2738
3.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
5452
6.47 IPS |
|
|
Object Detection (SP)
|
98% |
1274
101.4 IPS |
|
|
Object Detection (HP)
|
98% |
1313
104.5 IPS |
|
|
Object Detection (Q)
|
83% |
1868
150.9 IPS |
|
|
Face Detection (SP)
|
100% |
2903
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
2901
34.5 IPS |
|
|
Face Detection (Q)
|
95% |
4470
53.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2999
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3289
25.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4973
45.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6601
8.57 IPS |
|
|
Style Transfer (HP)
|
89% |
6393
8.30 IPS |
|
|
Style Transfer (Q)
|
98% |
11870
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1427
52.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1434
53.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3010
111.5 IPS |
|
|
Text Classification (SP)
|
100% |
656
875.3 IPS |
|
|
Text Classification (HP)
|
99% |
652
869.8 IPS |
|
|
Text Classification (Q)
|
88% |
1162
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1679
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1616
27.8 IPS |
|
|
Machine Translation (Q)
|
50% |
741
26.3 IPS |
