Xiaomi 2311DRK48G
Geekbench ML Score
3213
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | March 27 2024 07:19 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2311DRK48G |
| Model ID | Xiaomi 2311DRK48G |
| 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 | 7.17 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
713
133.5 IPS |
|
|
Image Classification (F16)
|
100% |
4191
784.2 IPS |
|
|
Image Classification (I8)
|
97% |
8090
1.51 KIPS |
|
|
Image Segmentation (F32)
|
100% |
563
9.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
4113
68.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1750
29.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5891
7.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
16824
20.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
69603
84.3 IPS |
|
|
Object Detection (F32)
|
100% |
571
42.7 IPS |
|
|
Object Detection (F16)
|
100% |
3470
259.1 IPS |
|
|
Object Detection (I8)
|
64% |
4002
298.7 IPS |
|
|
Face Detection (F32)
|
100% |
2551
30.3 IPS |
|
|
Face Detection (F16)
|
97% |
10646
126.6 IPS |
|
|
Face Detection (I8)
|
86% |
11310
134.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
849
6.58 IPS |
|
|
Depth Estimation (F16)
|
100% |
18875
146.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
37814
293.2 IPS |
|
|
Style Transfer (F32)
|
100% |
2764
3.64 IPS |
|
|
Style Transfer (F16)
|
100% |
2879
3.79 IPS |
|
|
Style Transfer (I8)
|
31% |
6007
7.90 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1952
69.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10501
375.0 IPS |
|
|
Image Super-Resolution (I8)
|
33% |
29822
1.07 KIPS |
|
|
Text Classification (F32)
|
100% |
88
126.1 IPS |
|
|
Text Classification (F16)
|
100% |
1699
2.44 KIPS |
|
|
Text Classification (I8)
|
92% |
1753
2.52 KIPS |
|
|
Machine Translation (F32)
|
100% |
322
5.92 IPS |
|
|
Machine Translation (F16)
|
100% |
1377
25.3 IPS |
|
|
Machine Translation (I8)
|
76% |
476
8.77 IPS |
