samsung SM-X820
Geekbench AI Score
1709
Single Precision Score
2334
Half Precision Score
1892
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 10:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
685
127.4 IPS |
|
|
Image Classification (HP)
|
100% |
1053
195.8 IPS |
|
|
Image Classification (Q)
|
97% |
904
168.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3239
52.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2759
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10898
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18946
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16949
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
880
69.8 IPS |
|
|
Object Detection (HP)
|
99% |
1166
92.5 IPS |
|
|
Object Detection (Q)
|
83% |
1237
99.9 IPS |
|
|
Face Detection (SP)
|
100% |
3727
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
4655
55.3 IPS |
|
|
Face Detection (Q)
|
96% |
3516
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5376
41.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9307
71.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
8161
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15325
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34239
44.0 IPS |
|
|
Style Transfer (Q)
|
98% |
31477
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2492
92.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3690
136.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3490
129.3 IPS |
|
|
Text Classification (SP)
|
35% |
32
293.2 IPS |
|
|
Text Classification (HP)
|
29% |
23
393.3 IPS |
|
|
Text Classification (Q)
|
32% |
28
361.3 IPS |
|
|
Machine Translation (SP)
|
100% |
571
9.83 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (Q)
|
43% |
128
7.44 IPS |
