samsung galaxy tab a9+ / Snapdragon 695 samsung SM-X218U
Geekbench AI Score
550
Single Precision Score
550
Half Precision Score
1065
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | arkansawdave74 |
| Upload Date | March 12 2025 07:49 AM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X218U |
| Model ID | samsung SM-X218U |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 3.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
239
44.4 IPS |
|
|
Image Classification (HP)
|
100% |
238
44.2 IPS |
|
|
Image Classification (Q)
|
100% |
724
134.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
829
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1181
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1185
1.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
1743
2.07 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (Q)
|
83% |
717
57.9 IPS |
|
|
Face Detection (SP)
|
100% |
763
9.07 IPS |
|
|
Face Detection (HP)
|
100% |
768
9.12 IPS |
|
|
Face Detection (Q)
|
95% |
1716
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1013
7.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
1018
7.84 IPS |
|
|
Depth Estimation (Q)
|
64% |
1614
14.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2017
2.62 IPS |
|
|
Style Transfer (HP)
|
89% |
2025
2.63 IPS |
|
|
Style Transfer (Q)
|
98% |
4028
5.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
537
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
535
19.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1008
37.3 IPS |
|
|
Text Classification (SP)
|
100% |
293
391.7 IPS |
|
|
Text Classification (HP)
|
100% |
290
387.5 IPS |
|
|
Text Classification (Q)
|
88% |
586
790.3 IPS |
|
|
Machine Translation (SP)
|
100% |
491
8.45 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (Q)
|
50% |
380
13.5 IPS |
