iPad Air (5th generation)
Geekbench ML Score
3003
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 12:04 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% |
1300
243.3 IPS |
|
|
Image Classification (F16)
|
100% |
1676
313.6 IPS |
|
|
Image Classification (I8)
|
99% |
1673
313.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
617
10.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
595
9.94 IPS |
|
|
Image Segmentation (I8)
|
100% |
595
9.93 IPS |
|
|
Pose Estimation (F32)
|
100% |
5644
6.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
12964
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12943
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1294
96.6 IPS |
|
|
Object Detection (F16)
|
100% |
1747
130.4 IPS |
|
|
Object Detection (I8)
|
97% |
1262
94.2 IPS |
|
|
Face Detection (F32)
|
100% |
2385
28.4 IPS |
|
|
Face Detection (F16)
|
97% |
4020
47.8 IPS |
|
|
Face Detection (I8)
|
97% |
4021
47.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5192
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8135
63.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
8137
63.1 IPS |
|
|
Style Transfer (F32)
|
100% |
15576
20.5 IPS |
|
|
Style Transfer (F16)
|
100% |
24296
32.0 IPS |
|
|
Style Transfer (I8)
|
100% |
24302
32.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3501
125.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4570
163.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4550
162.5 IPS |
|
|
Text Classification (F32)
|
100% |
2110
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3394
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3378
4.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
733
13.5 IPS |
|
|
Machine Translation (F16)
|
100% |
868
16.0 IPS |
|
|
Machine Translation (I8)
|
99% |
729
13.4 IPS |
