Xiaomi 23078PND5G
Geekbench AI Score
1957
Single Precision Score
2165
Half Precision Score
3662
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 07:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23078PND5G |
| Model ID | Xiaomi 23078PND5G |
| Motherboard | corot |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1567
291.4 IPS |
|
|
Image Classification (HP)
|
100% |
1634
303.8 IPS |
|
|
Image Classification (Q)
|
100% |
2872
534.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1775
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2940
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3109
3.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3066
3.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
7572
8.98 IPS |
|
|
Object Detection (SP)
|
98% |
1680
133.7 IPS |
|
|
Object Detection (HP)
|
98% |
1591
126.6 IPS |
|
|
Object Detection (Q)
|
83% |
2634
212.7 IPS |
|
|
Face Detection (SP)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
3094
36.8 IPS |
|
|
Face Detection (Q)
|
95% |
5491
65.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2923
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2962
22.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5825
53.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7681
9.97 IPS |
|
|
Style Transfer (HP)
|
89% |
7527
9.77 IPS |
|
|
Style Transfer (Q)
|
98% |
15138
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1496
55.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1479
54.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3954
146.5 IPS |
|
|
Text Classification (SP)
|
100% |
310
414.0 IPS |
|
|
Text Classification (HP)
|
99% |
853
1.14 KIPS |
|
|
Text Classification (Q)
|
88% |
1593
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1760
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1838
31.7 IPS |
|
|
Machine Translation (Q)
|
50% |
846
30.0 IPS |
