iPad Air (3rd generation)
Geekbench ML Score
775
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 27 2024 06:27 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPad Air (3rd generation) |
| Model ID | iPad11,3 |
| Motherboard | J217AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.84 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
359
67.2 IPS |
|
|
Image Classification (F16)
|
100% |
576
107.7 IPS |
|
|
Image Classification (I8)
|
99% |
570
106.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
248
4.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
303
5.06 IPS |
|
|
Image Segmentation (I8)
|
100% |
299
5.00 IPS |
|
|
Pose Estimation (F32)
|
100% |
1170
1.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
1310
1.59 IPS |
|
|
Pose Estimation (I8)
|
100% |
1301
1.58 IPS |
|
|
Object Detection (F32)
|
100% |
376
28.1 IPS |
|
|
Object Detection (F16)
|
100% |
638
47.7 IPS |
|
|
Object Detection (I8)
|
97% |
377
28.2 IPS |
|
|
Face Detection (F32)
|
100% |
800
9.51 IPS |
|
|
Face Detection (F16)
|
97% |
1489
17.7 IPS |
|
|
Face Detection (I8)
|
96% |
1487
17.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
916
7.10 IPS |
|
|
Depth Estimation (F16)
|
100% |
1715
13.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
1710
13.3 IPS |
|
|
Style Transfer (F32)
|
100% |
2575
3.39 IPS |
|
|
Style Transfer (F16)
|
100% |
4512
5.93 IPS |
|
|
Style Transfer (I8)
|
100% |
4561
6.00 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
758
27.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
984
35.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
985
35.2 IPS |
|
|
Text Classification (F32)
|
100% |
271
389.9 IPS |
|
|
Text Classification (F16)
|
100% |
508
730.4 IPS |
|
|
Text Classification (I8)
|
96% |
517
743.4 IPS |
|
|
Machine Translation (F32)
|
100% |
390
7.17 IPS |
|
|
Machine Translation (F16)
|
100% |
520
9.57 IPS |
|
|
Machine Translation (I8)
|
99% |
385
7.09 IPS |
