samsung SM-X820
Geekbench AI Score
2315
Single Precision Score
2258
Half Precision Score
3269
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 24 2025 11:18 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% |
1822
338.8 IPS |
|
|
Image Classification (HP)
|
100% |
1672
310.9 IPS |
|
|
Image Classification (Q)
|
100% |
2635
490.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2797
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3261
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
3207
3.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
6406
7.60 IPS |
|
|
Object Detection (SP)
|
98% |
1685
134.1 IPS |
|
|
Object Detection (HP)
|
98% |
1686
134.2 IPS |
|
|
Object Detection (Q)
|
83% |
2378
192.1 IPS |
|
|
Face Detection (SP)
|
100% |
3388
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
3168
37.6 IPS |
|
|
Face Detection (Q)
|
95% |
4891
58.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3486
26.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3594
27.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5317
48.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7702
10.00 IPS |
|
|
Style Transfer (HP)
|
89% |
7772
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
13727
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1669
61.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1575
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3281
121.6 IPS |
|
|
Text Classification (SP)
|
100% |
721
962.3 IPS |
|
|
Text Classification (HP)
|
99% |
713
951.8 IPS |
|
|
Text Classification (Q)
|
88% |
1331
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1885
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1813
31.2 IPS |
|
|
Machine Translation (Q)
|
50% |
798
28.3 IPS |
