samsung SM-X820
Geekbench AI Score
1077
Single Precision Score
1328
Half Precision Score
1318
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | August 17 2025 02:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
669
124.5 IPS |
|
|
Image Classification (HP)
|
100% |
673
125.2 IPS |
|
|
Image Classification (Q)
|
99% |
647
120.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1493
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1609
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
793
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1207
1.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
1203
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
664
52.6 IPS |
|
|
Object Detection (HP)
|
100% |
751
59.6 IPS |
|
|
Object Detection (Q)
|
83% |
887
71.7 IPS |
|
|
Face Detection (SP)
|
100% |
2994
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
3583
42.6 IPS |
|
|
Face Detection (Q)
|
97% |
3404
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1647
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2195
16.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
1792
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4292
5.52 IPS |
|
|
Style Transfer (HP)
|
100% |
5563
7.15 IPS |
|
|
Style Transfer (Q)
|
98% |
5494
7.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
808
29.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1146
42.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1103
40.9 IPS |
|
|
Text Classification (SP)
|
100% |
344
459.7 IPS |
|
|
Text Classification (HP)
|
100% |
463
617.8 IPS |
|
|
Text Classification (Q)
|
91% |
759
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
682
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (Q)
|
57% |
508
12.4 IPS |
