samsung SM-X920
Geekbench AI Score
2062
Single Precision Score
2012
Half Precision Score
2944
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 27 2025 11:06 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% |
1714
318.8 IPS |
|
|
Image Classification (HP)
|
100% |
1687
313.8 IPS |
|
|
Image Classification (Q)
|
100% |
2627
488.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2041
33.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2800
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2864
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2665
3.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
5446
6.46 IPS |
|
|
Object Detection (SP)
|
98% |
1362
108.4 IPS |
|
|
Object Detection (HP)
|
98% |
1363
108.5 IPS |
|
|
Object Detection (Q)
|
83% |
1972
159.3 IPS |
|
|
Face Detection (SP)
|
100% |
2882
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
2911
34.6 IPS |
|
|
Face Detection (Q)
|
95% |
4461
53.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3194
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3194
24.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4754
43.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6637
8.62 IPS |
|
|
Style Transfer (HP)
|
89% |
6375
8.28 IPS |
|
|
Style Transfer (Q)
|
98% |
12034
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1433
52.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1415
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2998
111.1 IPS |
|
|
Text Classification (SP)
|
100% |
660
881.1 IPS |
|
|
Text Classification (HP)
|
99% |
648
865.5 IPS |
|
|
Text Classification (Q)
|
88% |
1161
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1720
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1604
27.6 IPS |
|
|
Machine Translation (Q)
|
50% |
697
24.8 IPS |
