iPad Air 11-inch (M2)
Geekbench AI Score
3299
Single Precision Score
6021
Half Precision Score
4880
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | November 29 2025 01:50 PM |
| Views | 15 |
| Notes | iPad Air 11-inch (M2)/8GB/128GB |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1283
238.6 IPS |
|
|
Image Classification (HP)
|
100% |
2493
463.7 IPS |
|
|
Image Classification (Q)
|
96% |
1728
322.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2745
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6329
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
15161
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12836
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
97% |
2821
224.6 IPS |
|
|
Object Detection (Q)
|
94% |
2050
163.4 IPS |
|
|
Face Detection (SP)
|
100% |
3024
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
6024
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3476
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5409
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10936
84.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7661
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18121
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28268
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23470
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3737
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5050
186.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3746
138.3 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3871
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3842
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3622
62.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6835
118.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6828
118.0 IPS |
