iPad mini (6th generation)
Geekbench ML Score
910
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 16 2022 04:17 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| Model | iPad mini (6th generation) |
| Model ID | iPad14,1 |
| Motherboard | J310AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.92 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.78 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
758
81.2 IPS |
|
|
Image Classification (F16)
|
100% |
729
78.1 IPS |
|
|
Image Classification (I8)
|
81% |
469
50.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1099
6.79 IPS |
|
|
Image Segmentation (F16)
|
100% |
1063
6.57 IPS |
|
|
Image Segmentation (I8)
|
89% |
1440
8.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
417
1.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
407
1.65 IPS |
|
|
Pose Estimation (I8)
|
80% |
481
1.95 IPS |
|
|
Object Detection (F32)
|
100% |
1056
37.1 IPS |
|
|
Object Detection (F16)
|
100% |
1079
37.9 IPS |
|
|
Object Detection (I8)
|
52% |
791
27.7 IPS |
|
|
Face Detection (F32)
|
100% |
1313
15.1 IPS |
|
|
Face Detection (F16)
|
100% |
1276
14.7 IPS |
|
|
Face Detection (I8)
|
75% |
852
9.79 IPS |
|
|
Text Classification (F32)
|
100% |
1020
403.3 IPS |
|
|
Text Classification (F16)
|
100% |
1056
417.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1856
286.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1850
285.1 IPS |
