samsung SM-X820
Geekbench AI Score
2029
Single Precision Score
2014
Half Precision Score
2885
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 10:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1826
339.5 IPS |
|
|
Image Classification (HP)
|
100% |
1786
332.1 IPS |
|
|
Image Classification (Q)
|
100% |
2640
490.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2028
32.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2808
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3194
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2991
3.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
5533
6.56 IPS |
|
|
Object Detection (SP)
|
98% |
1375
109.4 IPS |
|
|
Object Detection (HP)
|
98% |
1292
102.8 IPS |
|
|
Object Detection (Q)
|
83% |
1972
159.3 IPS |
|
|
Face Detection (SP)
|
100% |
2920
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
2997
35.6 IPS |
|
|
Face Detection (Q)
|
95% |
4646
55.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3167
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3176
24.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4770
43.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6499
8.44 IPS |
|
|
Style Transfer (HP)
|
89% |
6462
8.39 IPS |
|
|
Style Transfer (Q)
|
98% |
10671
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1191
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1169
43.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2542
94.2 IPS |
|
|
Text Classification (SP)
|
100% |
541
722.3 IPS |
|
|
Text Classification (HP)
|
99% |
660
881.3 IPS |
|
|
Text Classification (Q)
|
88% |
1148
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1831
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1659
28.6 IPS |
|
|
Machine Translation (Q)
|
50% |
718
25.5 IPS |
