Xiaomi 2311DRK48C
Geekbench ML Score
2781
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | August 15 2024 02:53 PM |
| Views | 2 |
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% |
659
123.2 IPS |
|
|
Image Classification (F16)
|
100% |
3869
724.0 IPS |
|
|
Image Classification (I8)
|
97% |
7221
1.35 KIPS |
|
|
Image Segmentation (F32)
|
100% |
521
8.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
3671
61.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1724
28.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5518
6.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
16786
20.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
69446
84.1 IPS |
|
|
Object Detection (F32)
|
100% |
462
34.5 IPS |
|
|
Object Detection (F16)
|
100% |
2912
217.4 IPS |
|
|
Object Detection (I8)
|
64% |
3250
242.6 IPS |
|
|
Face Detection (F32)
|
100% |
2330
27.7 IPS |
|
|
Face Detection (F16)
|
97% |
9896
117.7 IPS |
|
|
Face Detection (I8)
|
86% |
10796
128.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
618
4.79 IPS |
|
|
Depth Estimation (F16)
|
100% |
18245
141.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
36501
283.1 IPS |
|
|
Style Transfer (F32)
|
100% |
2093
2.75 IPS |
|
|
Style Transfer (F16)
|
100% |
2114
2.78 IPS |
|
|
Style Transfer (I8)
|
31% |
4115
5.41 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1821
65.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9786
349.5 IPS |
|
|
Image Super-Resolution (I8)
|
33% |
26209
936.0 IPS |
|
|
Text Classification (F32)
|
100% |
66
94.6 IPS |
|
|
Text Classification (F16)
|
100% |
1424
2.05 KIPS |
|
|
Text Classification (I8)
|
92% |
1362
1.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
237
4.35 IPS |
|
|
Machine Translation (F16)
|
100% |
1224
22.5 IPS |
|
|
Machine Translation (I8)
|
76% |
386
7.11 IPS |
