samsung SM-X920
Geekbench AI Score
1111
Single Precision Score
1303
Half Precision Score
1289
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 25 2025 04:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
669
124.4 IPS |
|
|
Image Classification (HP)
|
100% |
720
133.9 IPS |
|
|
Image Classification (Q)
|
99% |
665
124.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1462
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1622
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
790
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1205
1.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
1201
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
666
52.8 IPS |
|
|
Object Detection (HP)
|
100% |
731
57.9 IPS |
|
|
Object Detection (Q)
|
83% |
903
73.1 IPS |
|
|
Face Detection (SP)
|
100% |
2951
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
2838
33.7 IPS |
|
|
Face Detection (Q)
|
97% |
2389
28.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1641
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2195
16.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
1777
16.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4275
5.50 IPS |
|
|
Style Transfer (HP)
|
100% |
5533
7.11 IPS |
|
|
Style Transfer (Q)
|
98% |
5591
7.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
816
30.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1139
42.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1117
41.4 IPS |
|
|
Text Classification (SP)
|
100% |
472
630.0 IPS |
|
|
Text Classification (HP)
|
100% |
473
631.2 IPS |
|
|
Text Classification (Q)
|
91% |
774
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (Q)
|
57% |
529
12.9 IPS |
