samsung SM-X820
Geekbench ML Score
3755
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 27 2024 05:17 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X820 |
| Model ID | samsung SM-X820 |
| Motherboard | gts10pwifi |
| 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% |
773
144.6 IPS |
|
|
Image Classification (F16)
|
100% |
4732
885.5 IPS |
|
|
Image Classification (I8)
|
97% |
9890
1.85 KIPS |
|
|
Image Segmentation (F32)
|
100% |
657
11.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
4479
74.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1837
30.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
8733
10.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
17685
21.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
68811
83.3 IPS |
|
|
Object Detection (F32)
|
100% |
655
48.9 IPS |
|
|
Object Detection (F16)
|
100% |
3767
281.3 IPS |
|
|
Object Detection (I8)
|
64% |
4375
326.6 IPS |
|
|
Face Detection (F32)
|
100% |
3293
39.1 IPS |
|
|
Face Detection (F16)
|
97% |
13061
155.3 IPS |
|
|
Face Detection (I8)
|
86% |
12159
144.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1205
9.34 IPS |
|
|
Depth Estimation (F16)
|
100% |
19665
152.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
42612
330.5 IPS |
|
|
Style Transfer (F32)
|
100% |
3316
4.36 IPS |
|
|
Style Transfer (F16)
|
100% |
3278
4.31 IPS |
|
|
Style Transfer (I8)
|
31% |
7178
9.44 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2558
91.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11633
415.5 IPS |
|
|
Image Super-Resolution (I8)
|
33% |
20248
723.1 IPS |
|
|
Text Classification (F32)
|
100% |
128
183.6 IPS |
|
|
Text Classification (F16)
|
100% |
1509
2.17 KIPS |
|
|
Text Classification (I8)
|
76% |
1515
2.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
509
9.36 IPS |
|
|
Machine Translation (F16)
|
100% |
2773
51.0 IPS |
|
|
Machine Translation (I8)
|
76% |
755
13.9 IPS |
