samsung SM-X920
Geekbench AI Score
1228
Single Precision Score
5144
Half Precision Score
4911
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 05 2025 09:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 15.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1227
228.1 IPS |
|
|
Image Classification (HP)
|
100% |
4476
832.4 IPS |
|
|
Image Classification (Q)
|
99% |
9271
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4203
68.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1858
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9144
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18382
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
75145
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
736
58.4 IPS |
|
|
Object Detection (HP)
|
100% |
4685
371.6 IPS |
|
|
Object Detection (Q)
|
86% |
5731
461.0 IPS |
|
|
Face Detection (SP)
|
100% |
3506
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
12038
143.0 IPS |
|
|
Face Detection (Q)
|
97% |
11396
135.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
975
7.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
19448
149.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
32941
312.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2611
3.36 IPS |
|
|
Style Transfer (HP)
|
100% |
682
0.88 IPS |
|
|
Style Transfer (Q)
|
30% |
408
6.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3043
112.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10885
401.9 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7994
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
132
176.6 IPS |
|
|
Text Classification (HP)
|
97% |
2186
2.93 KIPS |
|
|
Text Classification (Q)
|
73% |
2101
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
392
6.76 IPS |
|
|
Machine Translation (HP)
|
100% |
2110
36.4 IPS |
|
|
Machine Translation (Q)
|
60% |
428
9.63 IPS |
