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 14 2022 10:20 PM |
| Views | 1 |
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% |
768
82.3 IPS |
|
|
Image Classification (F16)
|
100% |
746
79.9 IPS |
|
|
Image Classification (I8)
|
81% |
462
49.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1082
6.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
1057
6.53 IPS |
|
|
Image Segmentation (I8)
|
89% |
1427
8.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
415
1.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
406
1.64 IPS |
|
|
Pose Estimation (I8)
|
80% |
482
1.95 IPS |
|
|
Object Detection (F32)
|
100% |
1071
37.6 IPS |
|
|
Object Detection (F16)
|
100% |
1082
38.0 IPS |
|
|
Object Detection (I8)
|
52% |
784
27.5 IPS |
|
|
Face Detection (F32)
|
100% |
1303
15.0 IPS |
|
|
Face Detection (F16)
|
100% |
1271
14.6 IPS |
|
|
Face Detection (I8)
|
75% |
854
9.81 IPS |
|
|
Text Classification (F32)
|
100% |
1048
414.4 IPS |
|
|
Text Classification (F16)
|
100% |
1040
411.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1852
285.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1853
285.5 IPS |
