samsung SM-X920
Geekbench AI Score
2341
Single Precision Score
2367
Half Precision Score
3384
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 21 2024 10:32 PM |
| Views | 2 |
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% |
1738
323.1 IPS |
|
|
Image Classification (HP)
|
100% |
1787
332.4 IPS |
|
|
Image Classification (Q)
|
100% |
2636
490.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2807
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3227
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3265
3.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
6565
7.79 IPS |
|
|
Object Detection (SP)
|
98% |
1696
135.0 IPS |
|
|
Object Detection (HP)
|
98% |
1705
135.7 IPS |
|
|
Object Detection (Q)
|
83% |
2238
180.8 IPS |
|
|
Face Detection (SP)
|
100% |
3370
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
3389
40.3 IPS |
|
|
Face Detection (Q)
|
95% |
5527
66.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3720
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3730
28.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5506
50.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7704
10.0 IPS |
|
|
Style Transfer (HP)
|
89% |
7593
9.86 IPS |
|
|
Style Transfer (Q)
|
98% |
13921
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1754
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1776
65.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3607
133.7 IPS |
|
|
Text Classification (SP)
|
100% |
830
1.11 KIPS |
|
|
Text Classification (HP)
|
99% |
842
1.12 KIPS |
|
|
Text Classification (Q)
|
88% |
1432
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1771
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1825
31.4 IPS |
|
|
Machine Translation (Q)
|
50% |
830
29.5 IPS |
