iPad mini (6th generation)
Geekbench ML Score
867
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 26 2022 03:58 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| 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% |
712
76.3 IPS |
|
|
Image Classification (F16)
|
100% |
655
70.1 IPS |
|
|
Image Classification (I8)
|
81% |
467
50.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1005
6.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
961
5.94 IPS |
|
|
Image Segmentation (I8)
|
89% |
1426
8.81 IPS |
|
|
Pose Estimation (F32)
|
100% |
376
1.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
371
1.50 IPS |
|
|
Pose Estimation (I8)
|
80% |
447
1.81 IPS |
|
|
Object Detection (F32)
|
100% |
957
33.6 IPS |
|
|
Object Detection (F16)
|
100% |
969
34.0 IPS |
|
|
Object Detection (I8)
|
52% |
768
27.0 IPS |
|
|
Face Detection (F32)
|
100% |
1194
13.7 IPS |
|
|
Face Detection (F16)
|
100% |
1166
13.4 IPS |
|
|
Face Detection (I8)
|
75% |
836
9.61 IPS |
|
|
Text Classification (F32)
|
100% |
1029
406.8 IPS |
|
|
Text Classification (F16)
|
100% |
1136
449.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1916
295.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1924
296.5 IPS |
