Samsung Galaxy Tab S10+
Geekbench AI Score
2274
Single Precision Score
2573
Half Precision Score
3458
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Opastyler |
| Upload Date | March 04 2026 04:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Mediatek Dimensity 9300+ |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy Tab S10+ |
| 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% |
1545
287.3 IPS |
|
|
Image Classification (HP)
|
100% |
1338
248.9 IPS |
|
|
Image Classification (Q)
|
99% |
2640
492.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1682
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2835
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3265
3.81 IPS |
|
|
Pose Estimation (HP)
|
92% |
6325
7.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
6502
7.62 IPS |
|
|
Object Detection (SP)
|
98% |
1638
130.3 IPS |
|
|
Object Detection (HP)
|
97% |
1155
91.9 IPS |
|
|
Object Detection (Q)
|
85% |
2244
180.8 IPS |
|
|
Face Detection (SP)
|
100% |
3421
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
4131
49.1 IPS |
|
|
Face Detection (Q)
|
97% |
5610
66.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3661
28.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5322
41.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5540
50.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7494
9.73 IPS |
|
|
Style Transfer (HP)
|
88% |
7250
9.41 IPS |
|
|
Style Transfer (Q)
|
98% |
13645
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1622
59.9 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
2759
102.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3378
125.2 IPS |
|
|
Text Classification (SP)
|
100% |
719
960.0 IPS |
|
|
Text Classification (HP)
|
100% |
1110
1.48 KIPS |
|
|
Text Classification (Q)
|
93% |
1387
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1913
32.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1587
27.4 IPS |
|
|
Machine Translation (Q)
|
55% |
1128
30.3 IPS |
