Xiaomi 2311DRK48I
Geekbench ML Score
572
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 09 2024 03:07 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% |
328
61.4 IPS |
|
|
Image Classification (F16)
|
100% |
394
73.8 IPS |
|
|
Image Classification (I8)
|
97% |
361
67.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
708
11.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
802
13.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
792
13.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
357
0.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
497
0.60 IPS |
|
|
Pose Estimation (I8)
|
100% |
496
0.60 IPS |
|
|
Object Detection (F32)
|
100% |
306
22.9 IPS |
|
|
Object Detection (F16)
|
100% |
352
26.3 IPS |
|
|
Object Detection (I8)
|
62% |
390
29.1 IPS |
|
|
Face Detection (F32)
|
100% |
1362
16.2 IPS |
|
|
Face Detection (F16)
|
98% |
1426
17.0 IPS |
|
|
Face Detection (I8)
|
86% |
1431
17.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
712
5.53 IPS |
|
|
Depth Estimation (F16)
|
100% |
869
6.74 IPS |
|
|
Depth Estimation (I8)
|
95% |
863
6.69 IPS |
|
|
Style Transfer (F32)
|
100% |
1947
2.56 IPS |
|
|
Style Transfer (F16)
|
100% |
2382
3.13 IPS |
|
|
Style Transfer (I8)
|
98% |
2381
3.13 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
433
15.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
512
18.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
508
18.2 IPS |
|
|
Text Classification (F32)
|
100% |
180
258.9 IPS |
|
|
Text Classification (F16)
|
100% |
181
260.3 IPS |
|
|
Text Classification (I8)
|
92% |
307
440.9 IPS |
|
|
Machine Translation (F32)
|
100% |
321
5.91 IPS |
|
|
Machine Translation (F16)
|
100% |
323
5.95 IPS |
|
|
Machine Translation (I8)
|
64% |
372
6.85 IPS |
