samsung SM-X920
Geekbench AI Score
1234
Single Precision Score
5189
Half Precision Score
4906
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 24 2025 08:09 PM |
| Views | 1 |
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 | 11.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1227
228.1 IPS |
|
|
Image Classification (HP)
|
100% |
4491
835.1 IPS |
|
|
Image Classification (Q)
|
99% |
9191
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
693
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4256
69.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1859
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9221
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18355
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
75054
88.0 IPS |
|
|
Object Detection (SP)
|
100% |
741
58.7 IPS |
|
|
Object Detection (HP)
|
100% |
4701
372.9 IPS |
|
|
Object Detection (Q)
|
86% |
5810
467.3 IPS |
|
|
Face Detection (SP)
|
100% |
3506
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
12318
146.4 IPS |
|
|
Face Detection (Q)
|
97% |
11417
136.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
965
7.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
19480
150.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
32900
312.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2628
3.38 IPS |
|
|
Style Transfer (HP)
|
100% |
700
0.90 IPS |
|
|
Style Transfer (Q)
|
30% |
401
6.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3009
111.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11009
406.5 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8060
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
135
179.9 IPS |
|
|
Text Classification (HP)
|
97% |
2182
2.92 KIPS |
|
|
Text Classification (Q)
|
73% |
2077
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
392
6.75 IPS |
|
|
Machine Translation (HP)
|
100% |
2128
36.7 IPS |
|
|
Machine Translation (Q)
|
60% |
430
9.68 IPS |
