samsung SM-X920
Geekbench ML Score
3426
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 27 2024 05:21 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% |
1187
222.2 IPS |
|
|
Image Classification (F16)
|
100% |
4426
828.3 IPS |
|
|
Image Classification (I8)
|
97% |
8965
1.68 KIPS |
|
|
Image Segmentation (F32)
|
100% |
656
11.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
4052
67.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1804
30.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
8651
10.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17781
21.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
67604
81.9 IPS |
|
|
Object Detection (F32)
|
100% |
704
52.5 IPS |
|
|
Object Detection (F16)
|
100% |
2859
213.4 IPS |
|
|
Object Detection (I8)
|
64% |
3439
256.7 IPS |
|
|
Face Detection (F32)
|
100% |
3531
42.0 IPS |
|
|
Face Detection (F16)
|
97% |
12007
142.8 IPS |
|
|
Face Detection (I8)
|
86% |
10470
124.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
950
7.37 IPS |
|
|
Depth Estimation (F16)
|
100% |
19327
149.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
29017
225.0 IPS |
|
|
Style Transfer (F32)
|
100% |
2545
3.35 IPS |
|
|
Style Transfer (F16)
|
100% |
2409
3.17 IPS |
|
|
Style Transfer (I8)
|
31% |
4594
6.04 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2105
75.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11192
399.7 IPS |
|
|
Image Super-Resolution (I8)
|
33% |
33036
1.18 KIPS |
|
|
Text Classification (F32)
|
100% |
125
179.2 IPS |
|
|
Text Classification (F16)
|
100% |
2026
2.91 KIPS |
|
|
Text Classification (I8)
|
76% |
1101
1.58 KIPS |
|
|
Machine Translation (F32)
|
100% |
395
7.27 IPS |
|
|
Machine Translation (F16)
|
100% |
2141
39.4 IPS |
|
|
Machine Translation (I8)
|
76% |
559
10.3 IPS |
