samsung SM-X620
Geekbench AI Score
274
Single Precision Score
274
Half Precision Score
642
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | csoltenborn |
| Upload Date | November 29 2025 03:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
164
30.4 IPS |
|
|
Image Classification (HP)
|
100% |
164
30.5 IPS |
|
|
Image Classification (Q)
|
99% |
420
78.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
458
7.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
280
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
282
0.33 IPS |
|
|
Pose Estimation (Q)
|
98% |
1091
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
161
12.8 IPS |
|
|
Object Detection (HP)
|
100% |
161
12.8 IPS |
|
|
Object Detection (Q)
|
87% |
456
36.6 IPS |
|
|
Face Detection (SP)
|
100% |
447
5.31 IPS |
|
|
Face Detection (HP)
|
100% |
449
5.34 IPS |
|
|
Face Detection (Q)
|
97% |
942
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
357
2.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
358
2.76 IPS |
|
|
Depth Estimation (Q)
|
64% |
878
7.97 IPS |
|
|
Style Transfer (SP)
|
100% |
621
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
621
0.80 IPS |
|
|
Style Transfer (Q)
|
98% |
1830
2.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
175
6.46 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
175
6.45 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
637
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
226
301.4 IPS |
|
|
Text Classification (HP)
|
100% |
227
302.4 IPS |
|
|
Text Classification (Q)
|
91% |
394
529.3 IPS |
|
|
Machine Translation (SP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.52 IPS |
|
|
Machine Translation (Q)
|
57% |
329
8.04 IPS |
