Xiaomi 24030PN60G
Geekbench AI Score
1801
Single Precision Score
2800
Half Precision Score
2202
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 15 2025 10:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24030PN60G |
| Model ID | Xiaomi 24030PN60G |
| Motherboard | aurora |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1109
206.3 IPS |
|
|
Image Classification (HP)
|
100% |
1808
336.2 IPS |
|
|
Image Classification (Q)
|
100% |
1544
287.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2481
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4340
70.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3432
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8952
10.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
16505
19.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
16171
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
995
78.9 IPS |
|
|
Object Detection (HP)
|
99% |
1502
119.1 IPS |
|
|
Object Detection (Q)
|
87% |
1459
117.1 IPS |
|
|
Face Detection (SP)
|
100% |
3574
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
5943
70.6 IPS |
|
|
Face Detection (Q)
|
97% |
5035
60.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4512
34.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
6807
52.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
5217
51.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11514
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25414
32.7 IPS |
|
|
Style Transfer (Q)
|
98% |
23960
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2435
89.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4256
157.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4280
158.6 IPS |
|
|
Text Classification (SP)
|
35% |
41
402.8 IPS |
|
|
Text Classification (HP)
|
35% |
53
482.5 IPS |
|
|
Text Classification (Q)
|
33% |
40
482.3 IPS |
|
|
Machine Translation (SP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (HP)
|
97% |
657
11.4 IPS |
|
|
Machine Translation (Q)
|
43% |
199
11.3 IPS |
