iPad Air (5th generation)
Geekbench ML Score
1865
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 28 2025 08:28 PM |
| Views | 13 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| Model | iPad Air (5th generation) |
| Model ID | iPad13,16 |
| Motherboard | J407AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
907
169.6 IPS |
|
|
Image Classification (F16)
|
100% |
859
160.8 IPS |
|
|
Image Classification (I8)
|
99% |
853
159.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
638
10.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
573
9.58 IPS |
|
|
Image Segmentation (I8)
|
100% |
566
9.46 IPS |
|
|
Pose Estimation (F32)
|
100% |
5598
6.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
9045
11.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
9026
10.9 IPS |
|
|
Object Detection (F32)
|
100% |
923
68.9 IPS |
|
|
Object Detection (F16)
|
100% |
1013
75.6 IPS |
|
|
Object Detection (I8)
|
97% |
928
69.3 IPS |
|
|
Face Detection (F32)
|
100% |
1732
20.6 IPS |
|
|
Face Detection (F16)
|
100% |
1578
18.8 IPS |
|
|
Face Detection (I8)
|
99% |
1585
18.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3318
25.7 IPS |
|
|
Depth Estimation (F16)
|
99% |
3621
28.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
3619
28.1 IPS |
|
|
Style Transfer (F32)
|
100% |
10032
13.2 IPS |
|
|
Style Transfer (F16)
|
100% |
11573
15.2 IPS |
|
|
Style Transfer (I8)
|
100% |
11562
15.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2313
82.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2493
89.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2470
88.2 IPS |
|
|
Text Classification (F32)
|
100% |
934
1.34 KIPS |
|
|
Text Classification (F16)
|
100% |
444
638.3 IPS |
|
|
Text Classification (I8)
|
96% |
578
830.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1286
23.7 IPS |
|
|
Machine Translation (F16)
|
99% |
1706
31.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1298
23.9 IPS |
