Xiaomi M2007J3SG
Geekbench AI Score
257
Single Precision Score
408
Half Precision Score
411
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 01:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi M2007J3SG |
| Model ID | Xiaomi M2007J3SG |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
227
42.3 IPS |
|
|
Image Classification (HP)
|
100% |
333
62.0 IPS |
|
|
Image Classification (Q)
|
97% |
337
63.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
192
3.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
276
4.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
272
4.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
440
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
881
1.03 IPS |
|
|
Pose Estimation (Q)
|
95% |
877
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (Q)
|
89% |
222
17.8 IPS |
|
|
Face Detection (SP)
|
100% |
559
6.65 IPS |
|
|
Face Detection (HP)
|
100% |
1066
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
1079
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
523
4.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
1008
7.78 IPS |
|
|
Depth Estimation (Q)
|
62% |
820
7.76 IPS |
|
|
Style Transfer (SP)
|
100% |
997
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
2579
3.31 IPS |
|
|
Style Transfer (Q)
|
98% |
2555
3.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
243
8.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
518
19.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
506
18.8 IPS |
|
|
Text Classification (SP)
|
100% |
56
74.2 IPS |
|
|
Text Classification (HP)
|
100% |
56
75.1 IPS |
|
|
Text Classification (Q)
|
91% |
96
129.6 IPS |
|
|
Machine Translation (SP)
|
100% |
91
1.57 IPS |
|
|
Machine Translation (HP)
|
100% |
91
1.58 IPS |
|
|
Machine Translation (Q)
|
57% |
71
1.74 IPS |
