iPad Air (5th generation)
Geekbench ML Score
3460
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 22 2024 02:26 PM |
| Views | 3 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1727
323.3 IPS |
|
|
Image Classification (F16)
|
100% |
1336
250.1 IPS |
|
|
Image Classification (I8)
|
99% |
1268
237.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
835
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
884
14.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
832
13.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
16145
19.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
18071
21.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
17663
21.4 IPS |
|
|
Object Detection (F32)
|
100% |
1475
110.1 IPS |
|
|
Object Detection (F16)
|
100% |
1504
112.3 IPS |
|
|
Object Detection (I8)
|
97% |
1555
116.1 IPS |
|
|
Face Detection (F32)
|
100% |
6043
71.9 IPS |
|
|
Face Detection (F16)
|
98% |
7268
86.4 IPS |
|
|
Face Detection (I8)
|
97% |
7318
87.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
12400
96.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
14049
109.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
12775
99.1 IPS |
|
|
Style Transfer (F32)
|
100% |
28368
37.3 IPS |
|
|
Style Transfer (F16)
|
100% |
31290
41.2 IPS |
|
|
Style Transfer (I8)
|
100% |
34162
44.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4920
175.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5600
200.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5899
210.7 IPS |
|
|
Text Classification (F32)
|
100% |
1172
1.68 KIPS |
|
|
Text Classification (F16)
|
100% |
757
1.09 KIPS |
|
|
Text Classification (I8)
|
96% |
760
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
573
10.5 IPS |
|
|
Machine Translation (F16)
|
100% |
587
10.8 IPS |
|
|
Machine Translation (I8)
|
99% |
585
10.8 IPS |
