samsung SM-X820
Geekbench AI Score
1990
Single Precision Score
1957
Half Precision Score
2804
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | August 17 2025 02:06 PM |
| Views | 12 |
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% |
1835
341.3 IPS |
|
|
Image Classification (HP)
|
100% |
1814
337.4 IPS |
|
|
Image Classification (Q)
|
100% |
2640
490.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2030
32.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2755
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3174
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2710
3.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
5442
6.45 IPS |
|
|
Object Detection (SP)
|
98% |
1277
101.6 IPS |
|
|
Object Detection (HP)
|
98% |
1342
106.8 IPS |
|
|
Object Detection (Q)
|
83% |
1871
151.2 IPS |
|
|
Face Detection (SP)
|
100% |
2802
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
2804
33.3 IPS |
|
|
Face Detection (Q)
|
95% |
4232
50.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2924
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2903
22.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4405
40.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6069
7.88 IPS |
|
|
Style Transfer (HP)
|
89% |
6111
7.93 IPS |
|
|
Style Transfer (Q)
|
98% |
10864
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1341
49.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1325
48.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2701
100.1 IPS |
|
|
Text Classification (SP)
|
100% |
600
800.3 IPS |
|
|
Text Classification (HP)
|
99% |
591
789.5 IPS |
|
|
Text Classification (Q)
|
88% |
1048
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1548
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1584
27.3 IPS |
|
|
Machine Translation (Q)
|
50% |
710
25.2 IPS |
