samsung SM-X920
Geekbench AI Score
1066
Single Precision Score
1295
Half Precision Score
1330
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | SyderAkaris |
| Upload Date | October 09 2024 12:13 AM |
| Views | 9 |
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 | 15.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
670
124.5 IPS |
|
|
Image Classification (HP)
|
100% |
716
133.2 IPS |
|
|
Image Classification (Q)
|
99% |
656
122.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1480
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1771
28.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1660
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
794
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1203
1.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
1193
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
659
52.2 IPS |
|
|
Object Detection (HP)
|
100% |
842
66.8 IPS |
|
|
Object Detection (Q)
|
83% |
904
73.2 IPS |
|
|
Face Detection (SP)
|
100% |
2988
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
3550
42.2 IPS |
|
|
Face Detection (Q)
|
97% |
3258
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1647
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2180
16.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
1792
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4267
5.48 IPS |
|
|
Style Transfer (HP)
|
100% |
5575
7.17 IPS |
|
|
Style Transfer (Q)
|
98% |
5504
7.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
817
30.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1139
42.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1099
40.7 IPS |
|
|
Text Classification (SP)
|
100% |
303
404.5 IPS |
|
|
Text Classification (HP)
|
100% |
303
404.5 IPS |
|
|
Text Classification (Q)
|
91% |
783
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (Q)
|
57% |
537
13.1 IPS |
