samsung SM-X820
Geekbench AI Score
2091
Single Precision Score
2067
Half Precision Score
2936
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mersa |
| Upload Date | August 16 2025 09:07 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1645
306.0 IPS |
|
|
Image Classification (HP)
|
100% |
1832
340.7 IPS |
|
|
Image Classification (Q)
|
100% |
2625
488.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2790
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3266
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2692
3.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
5460
6.48 IPS |
|
|
Object Detection (SP)
|
98% |
1392
110.8 IPS |
|
|
Object Detection (HP)
|
98% |
1428
113.6 IPS |
|
|
Object Detection (Q)
|
83% |
1852
149.6 IPS |
|
|
Face Detection (SP)
|
100% |
2973
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
2958
35.1 IPS |
|
|
Face Detection (Q)
|
95% |
4446
53.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3051
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3035
23.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4586
42.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6453
8.38 IPS |
|
|
Style Transfer (HP)
|
89% |
6460
8.39 IPS |
|
|
Style Transfer (Q)
|
98% |
11929
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1442
53.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1497
55.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3146
116.6 IPS |
|
|
Text Classification (SP)
|
100% |
685
913.9 IPS |
|
|
Text Classification (HP)
|
99% |
678
905.6 IPS |
|
|
Text Classification (Q)
|
88% |
1217
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1731
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1645
28.3 IPS |
|
|
Machine Translation (Q)
|
50% |
691
24.5 IPS |
