Xiaomi 2311DRK48C
Geekbench ML Score
3146
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 26 2024 06:42 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2311DRK48C |
| Model ID | Xiaomi 2311DRK48C |
| 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% |
713
133.5 IPS |
|
|
Image Classification (F16)
|
100% |
4142
775.1 IPS |
|
|
Image Classification (I8)
|
97% |
7888
1.48 KIPS |
|
|
Image Segmentation (F32)
|
100% |
557
9.30 IPS |
|
|
Image Segmentation (F16)
|
100% |
4124
68.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1744
29.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5870
7.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
17063
20.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
70139
84.9 IPS |
|
|
Object Detection (F32)
|
100% |
529
39.5 IPS |
|
|
Object Detection (F16)
|
100% |
3359
250.8 IPS |
|
|
Object Detection (I8)
|
64% |
3842
286.8 IPS |
|
|
Face Detection (F32)
|
100% |
2521
30.0 IPS |
|
|
Face Detection (F16)
|
97% |
10452
124.3 IPS |
|
|
Face Detection (I8)
|
86% |
11235
133.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
808
6.27 IPS |
|
|
Depth Estimation (F16)
|
100% |
18990
147.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
37759
292.8 IPS |
|
|
Style Transfer (F32)
|
100% |
2630
3.46 IPS |
|
|
Style Transfer (F16)
|
100% |
2764
3.64 IPS |
|
|
Style Transfer (I8)
|
31% |
5689
7.48 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1951
69.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10468
373.8 IPS |
|
|
Image Super-Resolution (I8)
|
33% |
29050
1.04 KIPS |
|
|
Text Classification (F32)
|
100% |
83
118.8 IPS |
|
|
Text Classification (F16)
|
100% |
1653
2.38 KIPS |
|
|
Text Classification (I8)
|
92% |
1677
2.41 KIPS |
|
|
Machine Translation (F32)
|
100% |
305
5.61 IPS |
|
|
Machine Translation (F16)
|
100% |
1325
24.4 IPS |
|
|
Machine Translation (I8)
|
76% |
492
9.06 IPS |
