samsung SM-X820
Geekbench AI Score
1099
Single Precision Score
1331
Half Precision Score
1303
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | February 27 2025 08:43 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
678
126.0 IPS |
|
|
Image Classification (HP)
|
100% |
702
130.6 IPS |
|
|
Image Classification (Q)
|
99% |
664
123.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1776
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1676
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
793
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1208
1.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
1202
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
672
53.3 IPS |
|
|
Object Detection (HP)
|
100% |
752
59.7 IPS |
|
|
Object Detection (Q)
|
83% |
931
75.4 IPS |
|
|
Face Detection (SP)
|
100% |
2861
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
3453
41.0 IPS |
|
|
Face Detection (Q)
|
97% |
2682
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1605
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2231
17.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
1760
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4258
5.47 IPS |
|
|
Style Transfer (HP)
|
100% |
5585
7.18 IPS |
|
|
Style Transfer (Q)
|
98% |
5471
7.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
814
30.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1160
42.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1116
41.3 IPS |
|
|
Text Classification (SP)
|
100% |
464
619.5 IPS |
|
|
Text Classification (HP)
|
100% |
463
618.4 IPS |
|
|
Text Classification (Q)
|
91% |
759
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (Q)
|
57% |
521
12.7 IPS |
