Samsung Galaxy Tab S10 Plus samsung SM-X820
Geekbench AI Score
2071
Single Precision Score
2067
Half Precision Score
2891
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Mario_Arnaut |
| Upload Date | March 30 2025 02:07 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1850
344.1 IPS |
|
|
Image Classification (HP)
|
100% |
1851
344.3 IPS |
|
|
Image Classification (Q)
|
100% |
2643
491.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2806
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3238
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3155
3.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
5433
6.44 IPS |
|
|
Object Detection (SP)
|
98% |
1388
110.4 IPS |
|
|
Object Detection (HP)
|
98% |
1399
111.4 IPS |
|
|
Object Detection (Q)
|
83% |
1876
151.5 IPS |
|
|
Face Detection (SP)
|
100% |
2979
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
2875
34.2 IPS |
|
|
Face Detection (Q)
|
95% |
4302
51.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3041
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3163
24.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4666
42.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6518
8.46 IPS |
|
|
Style Transfer (HP)
|
89% |
6528
8.47 IPS |
|
|
Style Transfer (Q)
|
98% |
12028
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1474
54.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1423
52.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2858
105.9 IPS |
|
|
Text Classification (SP)
|
100% |
592
790.6 IPS |
|
|
Text Classification (HP)
|
99% |
592
789.9 IPS |
|
|
Text Classification (Q)
|
88% |
1031
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1585
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1643
28.3 IPS |
|
|
Machine Translation (Q)
|
50% |
759
26.9 IPS |
