samsung SM-X620
Geekbench AI Score
1365
Single Precision Score
1367
Half Precision Score
2735
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | csoltenborn |
| Upload Date | November 29 2025 03:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-X620 |
| Model ID | samsung SM-X620 |
| Motherboard | s5e8855 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 11.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1154
214.5 IPS |
|
|
Image Classification (HP)
|
100% |
1143
212.6 IPS |
|
|
Image Classification (Q)
|
100% |
2203
409.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1019
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1025
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2448
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2388
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2303
2.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
5715
6.78 IPS |
|
|
Object Detection (SP)
|
98% |
1009
80.3 IPS |
|
|
Object Detection (HP)
|
98% |
1002
79.7 IPS |
|
|
Object Detection (Q)
|
83% |
1818
146.9 IPS |
|
|
Face Detection (SP)
|
100% |
1483
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
1485
17.6 IPS |
|
|
Face Detection (Q)
|
95% |
4388
52.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1716
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1675
12.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4537
41.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5328
6.92 IPS |
|
|
Style Transfer (HP)
|
89% |
5339
6.93 IPS |
|
|
Style Transfer (Q)
|
98% |
12261
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1069
39.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1076
39.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2985
110.6 IPS |
|
|
Text Classification (SP)
|
100% |
562
750.5 IPS |
|
|
Text Classification (HP)
|
99% |
583
778.7 IPS |
|
|
Text Classification (Q)
|
88% |
1075
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1016
17.5 IPS |
|
|
Machine Translation (Q)
|
50% |
535
19.0 IPS |
