samsung SM-X620
Geekbench ML Score
797
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | August 03 2025 11:42 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.48 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
400
74.8 IPS |
|
|
Image Classification (F16)
|
100% |
402
75.3 IPS |
|
|
Image Classification (I8)
|
97% |
694
129.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
523
8.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
520
8.68 IPS |
|
|
Image Segmentation (I8)
|
98% |
742
12.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
779
0.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
777
0.94 IPS |
|
|
Pose Estimation (I8)
|
100% |
3757
4.55 IPS |
|
|
Object Detection (F32)
|
100% |
405
30.3 IPS |
|
|
Object Detection (F16)
|
100% |
405
30.3 IPS |
|
|
Object Detection (I8)
|
61% |
935
69.8 IPS |
|
|
Face Detection (F32)
|
100% |
779
9.26 IPS |
|
|
Face Detection (F16)
|
100% |
767
9.12 IPS |
|
|
Face Detection (I8)
|
86% |
1750
20.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
793
6.15 IPS |
|
|
Depth Estimation (F16)
|
100% |
798
6.19 IPS |
|
|
Depth Estimation (I8)
|
95% |
1883
14.6 IPS |
|
|
Style Transfer (F32)
|
100% |
1347
1.77 IPS |
|
|
Style Transfer (F16)
|
100% |
1358
1.79 IPS |
|
|
Style Transfer (I8)
|
98% |
4195
5.52 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
527
18.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
522
18.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1675
59.8 IPS |
|
|
Text Classification (F32)
|
100% |
514
738.3 IPS |
|
|
Text Classification (F16)
|
100% |
512
735.3 IPS |
|
|
Text Classification (I8)
|
92% |
358
514.9 IPS |
|
|
Machine Translation (F32)
|
100% |
833
15.3 IPS |
|
|
Machine Translation (F16)
|
100% |
823
15.2 IPS |
|
|
Machine Translation (I8)
|
64% |
503
9.25 IPS |
