iPad mini (6th generation)
Geekbench ML Score
907
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 19 2022 04:47 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.2 |
| 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% |
765
82.0 IPS |
|
|
Image Classification (F16)
|
100% |
716
76.7 IPS |
|
|
Image Classification (I8)
|
81% |
460
49.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1043
6.44 IPS |
|
|
Image Segmentation (F16)
|
100% |
1032
6.37 IPS |
|
|
Image Segmentation (I8)
|
89% |
1420
8.77 IPS |
|
|
Pose Estimation (F32)
|
100% |
402
1.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
394
1.59 IPS |
|
|
Pose Estimation (I8)
|
80% |
466
1.88 IPS |
|
|
Object Detection (F32)
|
100% |
1013
35.6 IPS |
|
|
Object Detection (F16)
|
100% |
1023
35.9 IPS |
|
|
Object Detection (I8)
|
52% |
762
26.8 IPS |
|
|
Face Detection (F32)
|
100% |
1269
14.6 IPS |
|
|
Face Detection (F16)
|
100% |
1227
14.1 IPS |
|
|
Face Detection (I8)
|
75% |
855
9.82 IPS |
|
|
Text Classification (F32)
|
100% |
1231
486.7 IPS |
|
|
Text Classification (F16)
|
100% |
1226
484.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1870
288.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1856
286.1 IPS |
