samsung SM-X818U
Geekbench AI Score
505
Single Precision Score
16719
Half Precision Score
37686
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 06 2025 03:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
304
56.5 IPS |
|
|
Image Classification (HP)
|
100% |
12894
2.40 KIPS |
|
|
Image Classification (Q)
|
97% |
32467
6.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
393
6.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
7884
127.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
22071
358.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
539
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
74431
86.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
295716
346.1 IPS |
|
|
Object Detection (SP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (HP)
|
100% |
12396
983.2 IPS |
|
|
Object Detection (Q)
|
86% |
14055
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
740
8.80 IPS |
|
|
Face Detection (HP)
|
100% |
25817
306.8 IPS |
|
|
Face Detection (Q)
|
97% |
91708
1.09 KIPS |
|
|
Depth Estimation (SP)
|
100% |
658
5.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
45267
348.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
82789
775.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1060
1.36 IPS |
|
|
Style Transfer (HP)
|
98% |
60150
77.6 IPS |
|
|
Style Transfer (Q)
|
98% |
294586
379.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
346
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32805
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82218
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
448
598.4 IPS |
|
|
Text Classification (HP)
|
100% |
2538
3.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5664
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
700
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3109
53.6 IPS |
|
|
Machine Translation (Q)
|
55% |
1863
48.8 IPS |
