samsung SM-X920
Geekbench AI Score
1208
Single Precision Score
5124
Half Precision Score
4902
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | t0m3k |
| Upload Date | December 29 2024 12:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X920 |
| Model ID | samsung SM-X920 |
| Motherboard | gts10uwifi |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1210
225.0 IPS |
|
|
Image Classification (HP)
|
100% |
4435
824.8 IPS |
|
|
Image Classification (Q)
|
99% |
9192
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
674
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4106
66.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1854
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8751
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18355
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
75035
88.0 IPS |
|
|
Object Detection (SP)
|
100% |
725
57.5 IPS |
|
|
Object Detection (HP)
|
100% |
4651
369.0 IPS |
|
|
Object Detection (Q)
|
86% |
5715
459.7 IPS |
|
|
Face Detection (SP)
|
100% |
3377
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
11822
140.5 IPS |
|
|
Face Detection (Q)
|
97% |
11580
138.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
966
7.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
19432
149.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
33124
314.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2588
3.33 IPS |
|
|
Style Transfer (HP)
|
100% |
701
0.90 IPS |
|
|
Style Transfer (Q)
|
30% |
407
6.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2977
109.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10841
400.3 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8065
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
130
173.8 IPS |
|
|
Text Classification (HP)
|
97% |
2151
2.88 KIPS |
|
|
Text Classification (Q)
|
73% |
2052
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
393
6.77 IPS |
|
|
Machine Translation (HP)
|
100% |
2140
36.9 IPS |
|
|
Machine Translation (Q)
|
60% |
425
9.57 IPS |
