Xiaomi 2311DRK48I
Geekbench ML Score
483
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 09 2024 04:26 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 | 7.17 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
269
50.3 IPS |
|
|
Image Classification (F16)
|
100% |
352
65.8 IPS |
|
|
Image Classification (I8)
|
97% |
308
57.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
588
9.83 IPS |
|
|
Image Segmentation (F16)
|
100% |
663
11.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
655
10.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
288
0.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
400
0.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
400
0.48 IPS |
|
|
Object Detection (F32)
|
100% |
237
17.7 IPS |
|
|
Object Detection (F16)
|
100% |
298
22.2 IPS |
|
|
Object Detection (I8)
|
62% |
302
22.6 IPS |
|
|
Face Detection (F32)
|
100% |
1109
13.2 IPS |
|
|
Face Detection (F16)
|
98% |
1235
14.7 IPS |
|
|
Face Detection (I8)
|
86% |
1158
13.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
577
4.48 IPS |
|
|
Depth Estimation (F16)
|
100% |
700
5.43 IPS |
|
|
Depth Estimation (I8)
|
95% |
695
5.39 IPS |
|
|
Style Transfer (F32)
|
100% |
1575
2.07 IPS |
|
|
Style Transfer (F16)
|
100% |
1921
2.53 IPS |
|
|
Style Transfer (I8)
|
98% |
1919
2.52 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
348
12.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
408
14.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
408
14.6 IPS |
|
|
Text Classification (F32)
|
100% |
173
247.9 IPS |
|
|
Text Classification (F16)
|
100% |
173
248.0 IPS |
|
|
Text Classification (I8)
|
92% |
297
427.0 IPS |
|
|
Machine Translation (F32)
|
100% |
312
5.73 IPS |
|
|
Machine Translation (F16)
|
100% |
313
5.77 IPS |
|
|
Machine Translation (I8)
|
64% |
352
6.48 IPS |
