samsung SM-X920
Geekbench ML Score
3421
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 27 2024 05:14 PM |
| Views | 3 |
System Information
| 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 | 11.26 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1200
224.6 IPS |
|
|
Image Classification (F16)
|
100% |
4254
796.0 IPS |
|
|
Image Classification (I8)
|
97% |
9014
1.69 KIPS |
|
|
Image Segmentation (F32)
|
100% |
666
11.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
4067
67.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1805
30.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
8721
10.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
17635
21.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
69162
83.8 IPS |
|
|
Object Detection (F32)
|
100% |
707
52.8 IPS |
|
|
Object Detection (F16)
|
100% |
2824
210.8 IPS |
|
|
Object Detection (I8)
|
64% |
3342
249.5 IPS |
|
|
Face Detection (F32)
|
100% |
3449
41.0 IPS |
|
|
Face Detection (F16)
|
97% |
12041
143.2 IPS |
|
|
Face Detection (I8)
|
86% |
9305
110.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
957
7.42 IPS |
|
|
Depth Estimation (F16)
|
100% |
19259
149.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
28353
219.9 IPS |
|
|
Style Transfer (F32)
|
100% |
2555
3.36 IPS |
|
|
Style Transfer (F16)
|
100% |
2415
3.18 IPS |
|
|
Style Transfer (I8)
|
31% |
4593
6.04 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2177
77.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11283
403.0 IPS |
|
|
Image Super-Resolution (I8)
|
33% |
33113
1.18 KIPS |
|
|
Text Classification (F32)
|
100% |
125
179.1 IPS |
|
|
Text Classification (F16)
|
100% |
2005
2.88 KIPS |
|
|
Text Classification (I8)
|
76% |
1219
1.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
391
7.20 IPS |
|
|
Machine Translation (F16)
|
100% |
2144
39.4 IPS |
|
|
Machine Translation (I8)
|
76% |
557
10.2 IPS |
