samsung SM-X920
Geekbench AI Score
1052
Single Precision Score
1306
Half Precision Score
1310
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Atelloblue |
| Upload Date | May 17 2025 10:13 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
668
124.1 IPS |
|
|
Image Classification (HP)
|
100% |
684
127.1 IPS |
|
|
Image Classification (Q)
|
99% |
653
121.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1693
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1680
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
793
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1205
1.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
1184
1.39 IPS |
|
|
Object Detection (SP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (HP)
|
100% |
737
58.5 IPS |
|
|
Object Detection (Q)
|
83% |
899
72.7 IPS |
|
|
Face Detection (SP)
|
100% |
2964
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (Q)
|
97% |
2977
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1643
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2119
16.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
1719
16.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4262
5.48 IPS |
|
|
Style Transfer (HP)
|
100% |
5529
7.11 IPS |
|
|
Style Transfer (Q)
|
98% |
5511
7.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
814
30.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1169
43.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1127
41.8 IPS |
|
|
Text Classification (SP)
|
100% |
302
403.5 IPS |
|
|
Text Classification (HP)
|
100% |
468
624.1 IPS |
|
|
Text Classification (Q)
|
91% |
772
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (Q)
|
57% |
521
12.7 IPS |
