Xiaomi 2311DRK48G
Geekbench ML Score
509
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 08 2024 01:21 PM |
| Views | 2 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
221
41.3 IPS |
|
|
Image Classification (F16)
|
100% |
283
53.0 IPS |
|
|
Image Classification (I8)
|
97% |
281
52.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
351
5.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
345
5.76 IPS |
|
|
Image Segmentation (I8)
|
98% |
433
7.24 IPS |
|
|
Pose Estimation (F32)
|
100% |
773
0.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
768
0.93 IPS |
|
|
Pose Estimation (I8)
|
100% |
2862
3.47 IPS |
|
|
Object Detection (F32)
|
100% |
234
17.5 IPS |
|
|
Object Detection (F16)
|
100% |
228
17.0 IPS |
|
|
Object Detection (I8)
|
61% |
397
29.6 IPS |
|
|
Face Detection (F32)
|
100% |
690
8.21 IPS |
|
|
Face Detection (F16)
|
100% |
602
7.16 IPS |
|
|
Face Detection (I8)
|
86% |
1127
13.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
634
4.91 IPS |
|
|
Depth Estimation (F16)
|
100% |
642
4.98 IPS |
|
|
Depth Estimation (I8)
|
95% |
973
7.54 IPS |
|
|
Style Transfer (F32)
|
100% |
1431
1.88 IPS |
|
|
Style Transfer (F16)
|
100% |
1440
1.89 IPS |
|
|
Style Transfer (I8)
|
98% |
3333
4.38 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
353
12.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
363
13.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
754
26.9 IPS |
|
|
Text Classification (F32)
|
100% |
202
291.0 IPS |
|
|
Text Classification (F16)
|
100% |
195
279.8 IPS |
|
|
Text Classification (I8)
|
92% |
186
267.5 IPS |
|
|
Machine Translation (F32)
|
100% |
435
8.01 IPS |
|
|
Machine Translation (F16)
|
100% |
513
9.45 IPS |
|
|
Machine Translation (I8)
|
64% |
250
4.59 IPS |
