iPad Air (5th generation)
Geekbench AI Score
5201
Single Precision Score
6020
Half Precision Score
5600
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 11 2025 08:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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 |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2250
418.5 IPS |
|
|
Image Classification (HP)
|
100% |
2249
418.3 IPS |
|
|
Image Classification (Q)
|
96% |
2070
386.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3986
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4252
68.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4052
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17364
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19512
22.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
19014
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
2695
213.8 IPS |
|
|
Object Detection (HP)
|
100% |
2731
216.7 IPS |
|
|
Object Detection (Q)
|
92% |
2469
197.1 IPS |
|
|
Face Detection (SP)
|
100% |
6699
79.6 IPS |
|
|
Face Detection (HP)
|
100% |
8414
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
7052
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12281
94.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13985
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
12937
101.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29114
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35382
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33715
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6392
236.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7266
268.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6151
227.1 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3986
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3972
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1018
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1026
17.7 IPS |
