Xiaomi 220333QNY
Geekbench AI Score
350
Single Precision Score
350
Half Precision Score
472
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 04:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 220333QNY |
| Model ID | Xiaomi 220333QNY |
| Motherboard | rain |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 2.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (Q)
|
100% |
315
58.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
188
3.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
192
3.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
389
6.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
723
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
703
0.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
696
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
158
12.6 IPS |
|
|
Object Detection (HP)
|
100% |
163
12.9 IPS |
|
|
Object Detection (Q)
|
83% |
314
25.4 IPS |
|
|
Face Detection (SP)
|
100% |
428
5.08 IPS |
|
|
Face Detection (HP)
|
100% |
429
5.09 IPS |
|
|
Face Detection (Q)
|
95% |
721
8.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
629
4.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
626
4.83 IPS |
|
|
Depth Estimation (Q)
|
64% |
721
6.61 IPS |
|
|
Style Transfer (SP)
|
89% |
1360
1.77 IPS |
|
|
Style Transfer (HP)
|
89% |
1360
1.77 IPS |
|
|
Style Transfer (Q)
|
98% |
1801
2.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
322
11.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
328
12.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
412
15.3 IPS |
|
|
Text Classification (SP)
|
100% |
199
266.0 IPS |
|
|
Text Classification (HP)
|
100% |
197
263.1 IPS |
|
|
Text Classification (Q)
|
88% |
304
410.6 IPS |
|
|
Machine Translation (SP)
|
100% |
321
5.53 IPS |
|
|
Machine Translation (HP)
|
100% |
316
5.45 IPS |
|
|
Machine Translation (Q)
|
50% |
178
6.31 IPS |
