samsung SM-X820
Geekbench AI Score
2201
Single Precision Score
2185
Half Precision Score
3117
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 03:04 AM |
| Views | 3 |
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% |
1690
314.2 IPS |
|
|
Image Classification (HP)
|
100% |
1746
324.8 IPS |
|
|
Image Classification (Q)
|
100% |
2653
493.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2809
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3221
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3160
3.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
6341
7.52 IPS |
|
|
Object Detection (SP)
|
98% |
1646
131.0 IPS |
|
|
Object Detection (HP)
|
98% |
1539
122.5 IPS |
|
|
Object Detection (Q)
|
83% |
2028
163.8 IPS |
|
|
Face Detection (SP)
|
100% |
3168
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
3165
37.6 IPS |
|
|
Face Detection (Q)
|
95% |
4828
57.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3322
25.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3425
26.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5292
48.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7257
9.42 IPS |
|
|
Style Transfer (HP)
|
89% |
7228
9.38 IPS |
|
|
Style Transfer (Q)
|
98% |
12554
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1450
53.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1453
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3010
111.5 IPS |
|
|
Text Classification (SP)
|
100% |
662
883.3 IPS |
|
|
Text Classification (HP)
|
99% |
661
882.1 IPS |
|
|
Text Classification (Q)
|
88% |
1298
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1890
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1834
31.6 IPS |
|
|
Machine Translation (Q)
|
50% |
723
25.7 IPS |
