Xiaomi 2407FPN8EG
Geekbench AI Score
1594
Single Precision Score
1540
Half Precision Score
2141
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 24 2025 11:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2407FPN8EG |
| Model ID | Xiaomi 2407FPN8EG |
| Motherboard | rothko |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1426
265.2 IPS |
|
|
Image Classification (HP)
|
100% |
1100
204.6 IPS |
|
|
Image Classification (Q)
|
100% |
1599
297.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1237
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1694
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2181
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2193
2.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
4219
5.00 IPS |
|
|
Object Detection (SP)
|
98% |
1006
80.0 IPS |
|
|
Object Detection (HP)
|
98% |
1018
81.0 IPS |
|
|
Object Detection (Q)
|
83% |
1406
113.6 IPS |
|
|
Face Detection (SP)
|
100% |
2308
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
2292
27.2 IPS |
|
|
Face Detection (Q)
|
95% |
3360
40.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2507
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2468
19.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3553
32.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5268
6.84 IPS |
|
|
Style Transfer (HP)
|
89% |
5224
6.78 IPS |
|
|
Style Transfer (Q)
|
98% |
9383
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1194
44.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1190
44.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2315
85.8 IPS |
|
|
Text Classification (SP)
|
100% |
520
693.7 IPS |
|
|
Text Classification (HP)
|
99% |
511
681.8 IPS |
|
|
Text Classification (Q)
|
88% |
886
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1370
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
549
19.5 IPS |
