iPad Air (4th generation)
Geekbench ML Score
891
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 16 2023 01:13 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.1 |
| Model | iPad Air (4th generation) |
| Model ID | iPad13,1 |
| Motherboard | J307AP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 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% |
655
70.1 IPS |
|
|
Image Classification (F16)
|
100% |
636
68.2 IPS |
|
|
Image Classification (I8)
|
81% |
413
44.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
989
6.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
976
6.03 IPS |
|
|
Image Segmentation (I8)
|
89% |
1403
8.66 IPS |
|
|
Pose Estimation (F32)
|
100% |
387
1.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
380
1.54 IPS |
|
|
Pose Estimation (I8)
|
80% |
463
1.87 IPS |
|
|
Object Detection (F32)
|
100% |
986
34.6 IPS |
|
|
Object Detection (F16)
|
100% |
985
34.6 IPS |
|
|
Object Detection (I8)
|
52% |
720
25.3 IPS |
|
|
Face Detection (F32)
|
100% |
1122
12.9 IPS |
|
|
Face Detection (F16)
|
100% |
1114
12.8 IPS |
|
|
Face Detection (I8)
|
75% |
819
9.41 IPS |
|
|
Text Classification (F32)
|
100% |
1767
698.7 IPS |
|
|
Text Classification (F16)
|
100% |
1965
777.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1694
261.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1684
259.5 IPS |
