Xiaomi 2311DRK48G
Geekbench ML Score
2921
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 13 2024 02:24 PM |
| Views | 4 |
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 | 11.08 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
591
110.6 IPS |
|
|
Image Classification (F16)
|
100% |
4101
767.5 IPS |
|
|
Image Classification (I8)
|
97% |
7608
1.42 KIPS |
|
|
Image Segmentation (F32)
|
100% |
513
8.57 IPS |
|
|
Image Segmentation (F16)
|
100% |
4002
66.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1740
29.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
4897
5.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
17001
20.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
69954
84.7 IPS |
|
|
Object Detection (F32)
|
100% |
455
34.0 IPS |
|
|
Object Detection (F16)
|
100% |
3185
237.8 IPS |
|
|
Object Detection (I8)
|
64% |
3571
266.6 IPS |
|
|
Face Detection (F32)
|
100% |
2112
25.1 IPS |
|
|
Face Detection (F16)
|
97% |
10182
121.1 IPS |
|
|
Face Detection (I8)
|
86% |
11059
131.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
711
5.51 IPS |
|
|
Depth Estimation (F16)
|
100% |
18630
144.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
35424
274.7 IPS |
|
|
Style Transfer (F32)
|
100% |
2267
2.98 IPS |
|
|
Style Transfer (F16)
|
100% |
2557
3.36 IPS |
|
|
Style Transfer (I8)
|
31% |
5215
6.86 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1622
57.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10208
364.6 IPS |
|
|
Image Super-Resolution (I8)
|
33% |
29080
1.04 KIPS |
|
|
Text Classification (F32)
|
100% |
69
99.5 IPS |
|
|
Text Classification (F16)
|
100% |
1580
2.27 KIPS |
|
|
Text Classification (I8)
|
92% |
1583
2.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
274
5.03 IPS |
|
|
Machine Translation (F16)
|
100% |
1337
24.6 IPS |
|
|
Machine Translation (I8)
|
76% |
458
8.42 IPS |
