samsung SM-X818U
Geekbench AI Score
490
Single Precision Score
491
Half Precision Score
1094
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 06 2025 03:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-X818U |
| Model ID | samsung SM-X818U |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
305
56.7 IPS |
|
|
Image Classification (HP)
|
100% |
301
56.0 IPS |
|
|
Image Classification (Q)
|
99% |
762
142.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
380
6.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
772
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
521
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
515
0.60 IPS |
|
|
Pose Estimation (Q)
|
98% |
1998
2.34 IPS |
|
|
Object Detection (SP)
|
100% |
288
22.8 IPS |
|
|
Object Detection (HP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (Q)
|
87% |
809
64.9 IPS |
|
|
Face Detection (SP)
|
100% |
705
8.38 IPS |
|
|
Face Detection (HP)
|
100% |
712
8.46 IPS |
|
|
Face Detection (Q)
|
97% |
1586
18.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
626
4.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
637
4.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
1489
13.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1043
1.34 IPS |
|
|
Style Transfer (HP)
|
100% |
1044
1.34 IPS |
|
|
Style Transfer (Q)
|
98% |
2522
3.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
330
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
337
12.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1164
43.1 IPS |
|
|
Text Classification (SP)
|
100% |
446
595.0 IPS |
|
|
Text Classification (HP)
|
100% |
453
605.3 IPS |
|
|
Text Classification (Q)
|
91% |
701
942.4 IPS |
|
|
Machine Translation (SP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (Q)
|
57% |
535
13.1 IPS |
