Xiaomi 2311DRK48I
Geekbench ML Score
2969
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 04 2024 07:37 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2311DRK48I |
| Model ID | Xiaomi 2311DRK48I |
| Motherboard | duchamp |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.08 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
689
128.9 IPS |
|
|
Image Classification (F16)
|
100% |
4018
751.8 IPS |
|
|
Image Classification (I8)
|
97% |
7845
1.47 KIPS |
|
|
Image Segmentation (F32)
|
100% |
561
9.38 IPS |
|
|
Image Segmentation (F16)
|
100% |
4027
67.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1742
29.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
4872
5.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
17007
20.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
69933
84.7 IPS |
|
|
Object Detection (F32)
|
100% |
458
34.2 IPS |
|
|
Object Detection (F16)
|
100% |
3286
245.3 IPS |
|
|
Object Detection (I8)
|
64% |
3722
277.9 IPS |
|
|
Face Detection (F32)
|
100% |
2113
25.1 IPS |
|
|
Face Detection (F16)
|
97% |
10345
123.0 IPS |
|
|
Face Detection (I8)
|
86% |
11162
132.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
736
5.71 IPS |
|
|
Depth Estimation (F16)
|
100% |
18763
145.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
37475
290.6 IPS |
|
|
Style Transfer (F32)
|
100% |
2264
2.98 IPS |
|
|
Style Transfer (F16)
|
100% |
2606
3.43 IPS |
|
|
Style Transfer (I8)
|
31% |
5289
6.96 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1613
57.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10316
368.4 IPS |
|
|
Image Super-Resolution (I8)
|
33% |
28680
1.02 KIPS |
|
|
Text Classification (F32)
|
100% |
68
97.8 IPS |
|
|
Text Classification (F16)
|
100% |
1568
2.25 KIPS |
|
|
Text Classification (I8)
|
92% |
1579
2.27 KIPS |
|
|
Machine Translation (F32)
|
100% |
283
5.21 IPS |
|
|
Machine Translation (F16)
|
100% |
1324
24.4 IPS |
|
|
Machine Translation (I8)
|
76% |
462
8.50 IPS |
