Xiaomi 2404APC5FG
Geekbench AI Score
326
Single Precision Score
316
Half Precision Score
611
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 08:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2404APC5FG |
| Model ID | Xiaomi 2404APC5FG |
| Motherboard | moon |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
190
35.3 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.9 IPS |
|
|
Image Classification (Q)
|
100% |
526
97.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
220
3.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
216
3.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
649
10.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
837
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
743
0.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
1272
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (HP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (Q)
|
83% |
408
33.0 IPS |
|
|
Face Detection (SP)
|
100% |
423
5.02 IPS |
|
|
Face Detection (HP)
|
100% |
414
4.92 IPS |
|
|
Face Detection (Q)
|
95% |
969
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
399
3.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
397
3.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
1085
9.93 IPS |
|
|
Style Transfer (SP)
|
89% |
1501
1.95 IPS |
|
|
Style Transfer (HP)
|
89% |
1387
1.80 IPS |
|
|
Style Transfer (Q)
|
98% |
2600
3.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
242
8.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
255
9.42 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
591
21.9 IPS |
|
|
Text Classification (SP)
|
100% |
148
197.3 IPS |
|
|
Text Classification (HP)
|
100% |
146
195.3 IPS |
|
|
Text Classification (Q)
|
88% |
209
282.0 IPS |
|
|
Machine Translation (SP)
|
100% |
246
4.23 IPS |
|
|
Machine Translation (HP)
|
100% |
232
4.00 IPS |
|
|
Machine Translation (Q)
|
50% |
123
4.37 IPS |
