samsung SM-X920
Geekbench AI Score
2032
Single Precision Score
2039
Half Precision Score
2926
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 10:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1667
310.0 IPS |
|
|
Image Classification (HP)
|
100% |
1776
330.4 IPS |
|
|
Image Classification (Q)
|
100% |
2644
491.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2803
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3015
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2688
3.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
5452
6.47 IPS |
|
|
Object Detection (SP)
|
98% |
1269
101.0 IPS |
|
|
Object Detection (HP)
|
98% |
1348
107.2 IPS |
|
|
Object Detection (Q)
|
83% |
1974
159.4 IPS |
|
|
Face Detection (SP)
|
100% |
2926
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
2886
34.3 IPS |
|
|
Face Detection (Q)
|
95% |
4462
53.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3027
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3056
23.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4593
42.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6405
8.31 IPS |
|
|
Style Transfer (HP)
|
89% |
6644
8.62 IPS |
|
|
Style Transfer (Q)
|
98% |
12433
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1425
52.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1427
52.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3002
111.2 IPS |
|
|
Text Classification (SP)
|
100% |
664
885.6 IPS |
|
|
Text Classification (HP)
|
99% |
648
865.6 IPS |
|
|
Text Classification (Q)
|
88% |
1159
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1673
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1690
29.1 IPS |
|
|
Machine Translation (Q)
|
50% |
651
23.1 IPS |
