iPad Air 11-inch (M2)
Geekbench AI Score
3439
Single Precision Score
6017
Half Precision Score
4882
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 12:06 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad Air 11-inch (M2) |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.5 IPS |
|
|
Image Classification (HP)
|
100% |
2518
468.3 IPS |
|
|
Image Classification (Q)
|
96% |
1775
331.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1489
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2779
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6780
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
15233
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12963
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1525
121.0 IPS |
|
|
Object Detection (HP)
|
97% |
2802
223.1 IPS |
|
|
Object Detection (Q)
|
94% |
2049
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
3109
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6024
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3466
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5599
43.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10886
84.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7699
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18591
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28934
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24015
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3971
146.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5009
185.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3717
137.2 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3945
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3867
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3679
63.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6427
111.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6379
110.2 IPS |
