Xiaomi mars
Geekbench AI Score
705
Single Precision Score
699
Half Precision Score
1087
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 05:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Mars |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi mars |
| Model ID | Xiaomi mars |
| Motherboard | mars |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Mars |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 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 | 7.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
432
80.4 IPS |
|
|
Image Classification (HP)
|
100% |
436
81.2 IPS |
|
|
Image Classification (Q)
|
100% |
1205
224.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
472
7.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
1285
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1647
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1515
1.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
2086
2.47 IPS |
|
|
Object Detection (SP)
|
100% |
321
25.5 IPS |
|
|
Object Detection (HP)
|
100% |
321
25.5 IPS |
|
|
Object Detection (Q)
|
83% |
852
68.8 IPS |
|
|
Face Detection (SP)
|
100% |
1080
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1082
12.9 IPS |
|
|
Face Detection (Q)
|
95% |
2084
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1508
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1454
11.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
1768
16.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2373
3.08 IPS |
|
|
Style Transfer (HP)
|
89% |
2406
3.12 IPS |
|
|
Style Transfer (Q)
|
98% |
4502
5.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
833
30.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
824
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1096
40.6 IPS |
|
|
Text Classification (SP)
|
100% |
326
435.0 IPS |
|
|
Text Classification (HP)
|
100% |
356
475.2 IPS |
|
|
Text Classification (Q)
|
88% |
285
384.4 IPS |
|
|
Machine Translation (SP)
|
100% |
263
4.53 IPS |
|
|
Machine Translation (HP)
|
100% |
253
4.36 IPS |
|
|
Machine Translation (Q)
|
50% |
163
5.80 IPS |
