samsung SM-X810
Geekbench AI Score
281
Single Precision Score
16144
Half Precision Score
36584
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | maquiz |
| Upload Date | April 12 2025 11:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X810 |
| Model ID | samsung SM-X810 |
| 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 | 10.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (HP)
|
100% |
12543
2.33 KIPS |
|
|
Image Classification (Q)
|
97% |
32299
6.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
7469
121.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20980
341.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
290
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
73491
85.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
293842
343.9 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
11885
942.7 IPS |
|
|
Object Detection (Q)
|
86% |
13353
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
453
5.38 IPS |
|
|
Face Detection (HP)
|
100% |
23932
284.4 IPS |
|
|
Face Detection (Q)
|
97% |
82326
981.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
380
2.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
44663
344.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
81182
760.2 IPS |
|
|
Style Transfer (SP)
|
100% |
685
0.88 IPS |
|
|
Style Transfer (HP)
|
98% |
61009
78.7 IPS |
|
|
Style Transfer (Q)
|
98% |
293730
378.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
184
6.79 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32700
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82185
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
222
295.9 IPS |
|
|
Text Classification (HP)
|
100% |
2406
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5654
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
400
6.89 IPS |
|
|
Machine Translation (HP)
|
100% |
2866
49.4 IPS |
|
|
Machine Translation (Q)
|
55% |
1771
46.4 IPS |
