iPad mini (6th generation)
Geekbench ML Score
900
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | ederpeter |
| Upload Date | November 05 2022 03:08 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
755
80.9 IPS |
|
|
Image Classification (F16)
|
100% |
732
78.5 IPS |
|
|
Image Classification (I8)
|
81% |
457
48.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1075
6.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
1046
6.46 IPS |
|
|
Image Segmentation (I8)
|
89% |
1411
8.72 IPS |
|
|
Pose Estimation (F32)
|
100% |
401
1.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
397
1.61 IPS |
|
|
Pose Estimation (I8)
|
80% |
470
1.90 IPS |
|
|
Object Detection (F32)
|
100% |
1037
36.4 IPS |
|
|
Object Detection (F16)
|
100% |
1061
37.2 IPS |
|
|
Object Detection (I8)
|
52% |
766
26.9 IPS |
|
|
Face Detection (F32)
|
100% |
1298
14.9 IPS |
|
|
Face Detection (F16)
|
100% |
1252
14.4 IPS |
|
|
Face Detection (I8)
|
75% |
850
9.77 IPS |
|
|
Text Classification (F32)
|
100% |
1030
407.5 IPS |
|
|
Text Classification (F16)
|
100% |
1042
412.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1916
295.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1917
295.4 IPS |
