Xiaomi M2007J3SG
Geekbench AI Score
226
Single Precision Score
181
Half Precision Score
895
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 02:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
352
65.5 IPS |
|
|
Image Classification (HP)
|
100% |
584
108.7 IPS |
|
|
Image Classification (Q)
|
97% |
1152
215.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
44
0.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
1111
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1407
1.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
5152
6.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
11193
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
320
25.4 IPS |
|
|
Object Detection (HP)
|
100% |
35
2.78 IPS |
|
|
Object Detection (Q)
|
85% |
1199
96.5 IPS |
|
|
Face Detection (SP)
|
100% |
884
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
82
0.97 IPS |
|
|
Face Detection (Q)
|
97% |
3117
37.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
181
1.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
81
0.62 IPS |
|
|
Depth Estimation (Q)
|
22% |
230
52.8 IPS |
|
|
Style Transfer (SP)
|
100% |
248
0.32 IPS |
|
|
Style Transfer (HP)
|
100% |
148
0.19 IPS |
|
|
Style Transfer (Q)
|
98% |
997
1.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1611
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4892
181.3 IPS |
|
|
Text Classification (SP)
|
71% |
3
4.46 IPS |
|
|
Text Classification (HP)
|
100% |
56
74.8 IPS |
|
|
Text Classification (Q)
|
93% |
91
122.2 IPS |
|
|
Machine Translation (SP)
|
100% |
75
1.30 IPS |
|
|
Machine Translation (HP)
|
100% |
92
1.58 IPS |
|
|
Machine Translation (Q)
|
54% |
61
1.72 IPS |
