iPad Air (4th generation)
Geekbench ML Score
1907
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 15 2022 08:48 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2351
251.9 IPS |
|
|
Image Classification (F16)
|
100% |
3510
376.1 IPS |
|
|
Image Classification (I8)
|
81% |
642
68.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
4497
27.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
7618
47.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
995
6.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
1382
5.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
4654
18.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
217
0.88 IPS |
|
|
Object Detection (F32)
|
100% |
2460
86.3 IPS |
|
|
Object Detection (F16)
|
99% |
3456
121.3 IPS |
|
|
Object Detection (I8)
|
52% |
917
32.2 IPS |
|
|
Face Detection (F32)
|
100% |
3849
44.2 IPS |
|
|
Face Detection (F16)
|
97% |
7654
87.9 IPS |
|
|
Face Detection (I8)
|
75% |
802
9.21 IPS |
|
|
Text Classification (F32)
|
100% |
1166
461.3 IPS |
|
|
Text Classification (F16)
|
98% |
1585
626.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1665
256.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1494
230.3 IPS |
