Xiaomi 2311DRN14I
Geekbench AI Score
295
Single Precision Score
310
Half Precision Score
594
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 13 2024 11:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6769V/CZ |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2311DRN14I |
| Model ID | Xiaomi 2311DRN14I |
| Motherboard | gale |
| CPU Information | |
|---|---|
| Name | ARM MT6769V/CZ |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
120
22.4 IPS |
|
|
Image Classification (HP)
|
100% |
121
22.5 IPS |
|
|
Image Classification (Q)
|
100% |
407
75.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
211
3.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
517
8.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
647
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
692
0.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
889
1.05 IPS |
|
|
Object Detection (SP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (Q)
|
83% |
323
26.1 IPS |
|
|
Face Detection (SP)
|
100% |
356
4.23 IPS |
|
|
Face Detection (HP)
|
100% |
408
4.84 IPS |
|
|
Face Detection (Q)
|
95% |
992
11.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
449
3.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
439
3.38 IPS |
|
|
Depth Estimation (Q)
|
64% |
1071
9.81 IPS |
|
|
Style Transfer (SP)
|
89% |
1386
1.80 IPS |
|
|
Style Transfer (HP)
|
89% |
1449
1.88 IPS |
|
|
Style Transfer (Q)
|
98% |
2850
3.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
270
9.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
267
9.85 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
743
27.5 IPS |
|
|
Text Classification (SP)
|
100% |
138
183.9 IPS |
|
|
Text Classification (HP)
|
100% |
173
230.7 IPS |
|
|
Text Classification (Q)
|
88% |
241
325.2 IPS |
|
|
Machine Translation (SP)
|
100% |
233
4.01 IPS |
|
|
Machine Translation (HP)
|
100% |
229
3.95 IPS |
|
|
Machine Translation (Q)
|
50% |
169
5.98 IPS |
