Samsung Galaxy Tab S10 Plus samsung SM-X820
Geekbench AI Score
1157
Single Precision Score
1318
Half Precision Score
1318
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Mario_Arnaut |
| Upload Date | March 30 2025 02:18 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1006
187.2 IPS |
|
|
Image Classification (HP)
|
100% |
695
129.2 IPS |
|
|
Image Classification (Q)
|
99% |
656
122.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1483
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1793
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1626
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
793
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1199
1.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
1197
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
679
53.8 IPS |
|
|
Object Detection (HP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (Q)
|
83% |
905
73.2 IPS |
|
|
Face Detection (SP)
|
100% |
2917
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
3315
39.4 IPS |
|
|
Face Detection (Q)
|
97% |
3013
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1653
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2120
16.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
1804
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4291
5.52 IPS |
|
|
Style Transfer (HP)
|
100% |
5532
7.11 IPS |
|
|
Style Transfer (Q)
|
98% |
5551
7.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
816
30.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1148
42.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1120
41.5 IPS |
|
|
Text Classification (SP)
|
100% |
465
621.3 IPS |
|
|
Text Classification (HP)
|
100% |
470
627.3 IPS |
|
|
Text Classification (Q)
|
91% |
773
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (Q)
|
57% |
527
12.9 IPS |
