iPad mini (6th generation)
Geekbench ML Score
904
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 15 2022 08:04 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| Model | iPad mini (6th generation) |
| Model ID | iPad14,2 |
| Motherboard | J311AP |
| 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% |
751
80.5 IPS |
|
|
Image Classification (F16)
|
100% |
731
78.3 IPS |
|
|
Image Classification (I8)
|
81% |
467
50.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1071
6.61 IPS |
|
|
Image Segmentation (F16)
|
100% |
1036
6.40 IPS |
|
|
Image Segmentation (I8)
|
89% |
1433
8.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
415
1.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
408
1.65 IPS |
|
|
Pose Estimation (I8)
|
80% |
481
1.95 IPS |
|
|
Object Detection (F32)
|
100% |
1051
36.9 IPS |
|
|
Object Detection (F16)
|
100% |
1052
36.9 IPS |
|
|
Object Detection (I8)
|
52% |
780
27.4 IPS |
|
|
Face Detection (F32)
|
100% |
1304
15.0 IPS |
|
|
Face Detection (F16)
|
100% |
1275
14.6 IPS |
|
|
Face Detection (I8)
|
75% |
858
9.86 IPS |
|
|
Text Classification (F32)
|
100% |
1044
413.0 IPS |
|
|
Text Classification (F16)
|
100% |
1012
400.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1865
287.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1861
286.8 IPS |
