samsung SM-X920
Geekbench AI Score
2167
Single Precision Score
2151
Half Precision Score
3106
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 27 2025 10:54 AM |
| 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% |
1711
318.1 IPS |
|
|
Image Classification (HP)
|
100% |
1812
337.0 IPS |
|
|
Image Classification (Q)
|
100% |
2635
490.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2090
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2799
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3182
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3000
3.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
6143
7.29 IPS |
|
|
Object Detection (SP)
|
98% |
1501
119.4 IPS |
|
|
Object Detection (HP)
|
98% |
1361
108.3 IPS |
|
|
Object Detection (Q)
|
83% |
2148
173.5 IPS |
|
|
Face Detection (SP)
|
100% |
3045
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (Q)
|
95% |
4845
57.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3425
26.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3428
26.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5122
46.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7112
9.23 IPS |
|
|
Style Transfer (HP)
|
89% |
7078
9.19 IPS |
|
|
Style Transfer (Q)
|
98% |
11955
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1422
52.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1415
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2995
111.0 IPS |
|
|
Text Classification (SP)
|
100% |
747
996.4 IPS |
|
|
Text Classification (HP)
|
99% |
744
993.5 IPS |
|
|
Text Classification (Q)
|
88% |
1305
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1697
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1762
30.3 IPS |
|
|
Machine Translation (Q)
|
50% |
741
26.3 IPS |
