samsung SM-X820
Geekbench AI Score
1207
Single Precision Score
5115
Half Precision Score
4903
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 10:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
1219
226.8 IPS |
|
|
Image Classification (HP)
|
100% |
4425
822.9 IPS |
|
|
Image Classification (Q)
|
99% |
9237
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
678
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4118
66.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1852
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9015
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18388
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
75098
88.0 IPS |
|
|
Object Detection (SP)
|
100% |
723
57.3 IPS |
|
|
Object Detection (HP)
|
100% |
4696
372.5 IPS |
|
|
Object Detection (Q)
|
86% |
5712
459.4 IPS |
|
|
Face Detection (SP)
|
100% |
3359
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
11888
141.3 IPS |
|
|
Face Detection (Q)
|
97% |
11578
138.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
965
7.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
19365
149.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
32557
309.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2609
3.35 IPS |
|
|
Style Transfer (HP)
|
100% |
694
0.89 IPS |
|
|
Style Transfer (Q)
|
30% |
408
6.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2947
108.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10943
404.1 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8167
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
131
175.1 IPS |
|
|
Text Classification (HP)
|
97% |
2147
2.88 KIPS |
|
|
Text Classification (Q)
|
73% |
2060
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (HP)
|
100% |
2076
35.8 IPS |
|
|
Machine Translation (Q)
|
60% |
423
9.53 IPS |
