samsung SM-X920
Geekbench AI Score
1981
Single Precision Score
2018
Half Precision Score
2874
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | zhanzju |
| Upload Date | October 02 2024 01:38 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1244
231.4 IPS |
|
|
Image Classification (HP)
|
100% |
1787
332.3 IPS |
|
|
Image Classification (Q)
|
100% |
2630
489.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2822
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3142
3.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2673
3.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
5498
6.52 IPS |
|
|
Object Detection (SP)
|
98% |
1268
100.9 IPS |
|
|
Object Detection (HP)
|
98% |
1305
103.9 IPS |
|
|
Object Detection (Q)
|
83% |
1854
149.8 IPS |
|
|
Face Detection (SP)
|
100% |
2875
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
2882
34.2 IPS |
|
|
Face Detection (Q)
|
95% |
4401
52.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3038
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3045
23.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4617
42.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6471
8.40 IPS |
|
|
Style Transfer (HP)
|
89% |
6263
8.13 IPS |
|
|
Style Transfer (Q)
|
98% |
11470
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1355
50.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1351
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2977
110.3 IPS |
|
|
Text Classification (SP)
|
100% |
649
866.3 IPS |
|
|
Text Classification (HP)
|
99% |
648
865.4 IPS |
|
|
Text Classification (Q)
|
88% |
1123
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1795
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1796
30.9 IPS |
|
|
Machine Translation (Q)
|
50% |
654
23.2 IPS |
