samsung SM-X810
Geekbench AI Score
840
Single Precision Score
1101
Half Precision Score
1100
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 12:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
666
123.9 IPS |
|
|
Image Classification (HP)
|
100% |
1088
202.3 IPS |
|
|
Image Classification (Q)
|
96% |
876
163.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1129
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1049
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1002
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1438
1.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1429
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
495
39.2 IPS |
|
|
Object Detection (HP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (Q)
|
87% |
790
63.4 IPS |
|
|
Face Detection (SP)
|
100% |
1769
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
2390
28.4 IPS |
|
|
Face Detection (Q)
|
97% |
2674
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1506
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2885
22.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2394
22.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3865
4.97 IPS |
|
|
Style Transfer (HP)
|
100% |
8701
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8641
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
442
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
370
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
368
13.6 IPS |
|
|
Text Classification (SP)
|
100% |
224
298.4 IPS |
|
|
Text Classification (HP)
|
100% |
224
298.6 IPS |
|
|
Text Classification (Q)
|
91% |
372
500.7 IPS |
|
|
Machine Translation (SP)
|
100% |
398
6.86 IPS |
|
|
Machine Translation (HP)
|
100% |
404
6.95 IPS |
|
|
Machine Translation (Q)
|
57% |
332
8.12 IPS |
