samsung SM-X920
Geekbench AI Score
1124
Single Precision Score
1315
Half Precision Score
1305
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 21 2024 10:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
679
126.3 IPS |
|
|
Image Classification (HP)
|
100% |
672
125.1 IPS |
|
|
Image Classification (Q)
|
99% |
650
121.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1763
28.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1679
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
790
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1201
1.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
1192
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (HP)
|
100% |
734
58.2 IPS |
|
|
Object Detection (Q)
|
83% |
890
72.0 IPS |
|
|
Face Detection (SP)
|
100% |
2909
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
3179
37.8 IPS |
|
|
Face Detection (Q)
|
97% |
2604
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1604
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2200
16.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
1801
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4289
5.51 IPS |
|
|
Style Transfer (HP)
|
100% |
5541
7.12 IPS |
|
|
Style Transfer (Q)
|
98% |
5564
7.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
925
34.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1162
42.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1097
40.6 IPS |
|
|
Text Classification (SP)
|
100% |
488
651.3 IPS |
|
|
Text Classification (HP)
|
100% |
483
644.4 IPS |
|
|
Text Classification (Q)
|
91% |
784
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (Q)
|
57% |
552
13.5 IPS |
