Xiaomi 24129PN74G
Geekbench AI Score
2519
Single Precision Score
2522
Half Precision Score
4254
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | charlix |
| Upload Date | November 01 2024 09:40 AM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24129PN74G |
| Model ID | Xiaomi 24129PN74G |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 0 |
| Base Frequency | 2.78 GHz |
| Cluster 1 | 6 Cores @ 2.78 GHz |
| Cluster 2 | 2 Cores @ 4.09 GHz |
| Memory Information | |
|---|---|
| Size | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1522
283.1 IPS |
|
|
Image Classification (HP)
|
100% |
1733
322.3 IPS |
|
|
Image Classification (Q)
|
100% |
3895
724.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2207
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2203
35.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4693
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5101
5.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
4730
5.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
11584
13.7 IPS |
|
|
Object Detection (SP)
|
98% |
1615
128.5 IPS |
|
|
Object Detection (HP)
|
98% |
1565
124.5 IPS |
|
|
Object Detection (Q)
|
83% |
3741
302.2 IPS |
|
|
Face Detection (SP)
|
100% |
4180
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
4200
49.9 IPS |
|
|
Face Detection (Q)
|
95% |
8733
104.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4191
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4345
33.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
8289
75.9 IPS |
|
|
Style Transfer (SP)
|
89% |
10014
13.0 IPS |
|
|
Style Transfer (HP)
|
89% |
10002
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21318
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2048
75.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2004
74.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4759
176.3 IPS |
|
|
Text Classification (SP)
|
100% |
816
1.09 KIPS |
|
|
Text Classification (HP)
|
99% |
808
1.08 KIPS |
|
|
Text Classification (Q)
|
88% |
640
862.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1251
21.5 IPS |
|
|
Machine Translation (Q)
|
50% |
522
18.5 IPS |
