iPad Air (5th generation)
Geekbench ML Score
3501
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 18 2024 08:57 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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% |
1878
351.5 IPS |
|
|
Image Classification (F16)
|
100% |
1541
288.3 IPS |
|
|
Image Classification (I8)
|
99% |
1443
270.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
855
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
851
14.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
846
14.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
16013
19.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
17937
21.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
17686
21.4 IPS |
|
|
Object Detection (F32)
|
100% |
1690
126.2 IPS |
|
|
Object Detection (F16)
|
100% |
1552
115.9 IPS |
|
|
Object Detection (I8)
|
97% |
1625
121.3 IPS |
|
|
Face Detection (F32)
|
100% |
6122
72.8 IPS |
|
|
Face Detection (F16)
|
98% |
7117
84.6 IPS |
|
|
Face Detection (I8)
|
97% |
7183
85.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
12133
94.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
13813
107.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
12582
97.6 IPS |
|
|
Style Transfer (F32)
|
100% |
27602
36.3 IPS |
|
|
Style Transfer (F16)
|
100% |
31172
41.0 IPS |
|
|
Style Transfer (I8)
|
100% |
32024
42.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4797
171.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5522
197.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5868
209.6 IPS |
|
|
Text Classification (F32)
|
100% |
1169
1.68 KIPS |
|
|
Text Classification (F16)
|
100% |
764
1.10 KIPS |
|
|
Text Classification (I8)
|
96% |
759
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
579
10.7 IPS |
|
|
Machine Translation (F16)
|
100% |
592
10.9 IPS |
|
|
Machine Translation (I8)
|
99% |
583
10.7 IPS |
