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 05:18 PM |
| Views | 1 |
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% |
1194
223.5 IPS |
|
|
Image Classification (F16)
|
100% |
4425
828.0 IPS |
|
|
Image Classification (I8)
|
97% |
8891
1.66 KIPS |
|
|
Image Segmentation (F32)
|
100% |
656
11.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
4063
67.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1805
30.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
8839
10.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
17647
21.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
65998
79.9 IPS |
|
|
Object Detection (F32)
|
100% |
709
52.9 IPS |
|
|
Object Detection (F16)
|
100% |
2790
208.3 IPS |
|
|
Object Detection (I8)
|
64% |
3354
250.4 IPS |
|
|
Face Detection (F32)
|
100% |
3565
42.4 IPS |
|
|
Face Detection (F16)
|
97% |
11996
142.6 IPS |
|
|
Face Detection (I8)
|
86% |
10157
120.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
954
7.40 IPS |
|
|
Depth Estimation (F16)
|
100% |
19285
149.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
27246
211.3 IPS |
|
|
Style Transfer (F32)
|
100% |
2551
3.36 IPS |
|
|
Style Transfer (F16)
|
100% |
2414
3.18 IPS |
|
|
Style Transfer (I8)
|
31% |
4593
6.04 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2053
73.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11224
400.8 IPS |
|
|
Image Super-Resolution (I8)
|
33% |
33042
1.18 KIPS |
|
|
Text Classification (F32)
|
100% |
125
179.0 IPS |
|
|
Text Classification (F16)
|
100% |
2049
2.94 KIPS |
|
|
Text Classification (I8)
|
76% |
1220
1.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
391
7.20 IPS |
|
|
Machine Translation (F16)
|
100% |
2149
39.5 IPS |
|
|
Machine Translation (I8)
|
76% |
560
10.3 IPS |
