iPad Air (5th generation)
Geekbench ML Score
3007
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 11:24 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1290
241.5 IPS |
|
|
Image Classification (F16)
|
100% |
1682
314.8 IPS |
|
|
Image Classification (I8)
|
99% |
1682
314.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
601
10.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
606
10.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
594
9.92 IPS |
|
|
Pose Estimation (F32)
|
100% |
5634
6.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
12954
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12953
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1271
94.9 IPS |
|
|
Object Detection (F16)
|
100% |
1749
130.6 IPS |
|
|
Object Detection (I8)
|
97% |
1264
94.3 IPS |
|
|
Face Detection (F32)
|
100% |
2410
28.7 IPS |
|
|
Face Detection (F16)
|
97% |
4024
47.8 IPS |
|
|
Face Detection (I8)
|
97% |
4030
47.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5195
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8136
63.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
8171
63.4 IPS |
|
|
Style Transfer (F32)
|
100% |
15511
20.4 IPS |
|
|
Style Transfer (F16)
|
100% |
24426
32.1 IPS |
|
|
Style Transfer (I8)
|
100% |
24421
32.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3527
126.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4623
165.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4498
160.6 IPS |
|
|
Text Classification (F32)
|
100% |
2108
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3466
4.98 KIPS |
|
|
Text Classification (I8)
|
96% |
3387
4.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
730
13.4 IPS |
|
|
Machine Translation (F16)
|
100% |
867
16.0 IPS |
|
|
Machine Translation (I8)
|
99% |
734
13.5 IPS |
