samsung SM-X920
Geekbench AI Score
1693
Single Precision Score
2416
Half Precision Score
2008
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 27 2025 11:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
990
184.1 IPS |
|
|
Image Classification (HP)
|
100% |
1152
214.3 IPS |
|
|
Image Classification (Q)
|
97% |
935
174.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2045
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2973
48.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3179
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11311
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17520
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16834
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
844
67.0 IPS |
|
|
Object Detection (HP)
|
99% |
994
78.9 IPS |
|
|
Object Detection (Q)
|
83% |
1071
86.5 IPS |
|
|
Face Detection (SP)
|
100% |
3472
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
4712
56.0 IPS |
|
|
Face Detection (Q)
|
96% |
4688
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5969
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9939
76.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
7554
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15039
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33358
42.9 IPS |
|
|
Style Transfer (Q)
|
98% |
32300
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2253
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3625
133.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3734
138.4 IPS |
|
|
Text Classification (SP)
|
35% |
27
247.8 IPS |
|
|
Text Classification (HP)
|
29% |
21
363.5 IPS |
|
|
Text Classification (Q)
|
29% |
22
371.8 IPS |
|
|
Machine Translation (SP)
|
100% |
529
9.12 IPS |
|
|
Machine Translation (HP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (Q)
|
43% |
212
12.3 IPS |
