iPad Air 11-inch (M2)
Geekbench AI Score
3235
Single Precision Score
5753
Half Precision Score
4848
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 01:50 PM |
| Views | 1 |
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% |
1284
238.9 IPS |
|
|
Image Classification (HP)
|
100% |
1963
365.0 IPS |
|
|
Image Classification (Q)
|
96% |
1730
323.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2355
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2633
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5387
6.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
15202
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12861
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1419
112.6 IPS |
|
|
Object Detection (HP)
|
97% |
2360
187.9 IPS |
|
|
Object Detection (Q)
|
94% |
2039
162.5 IPS |
|
|
Face Detection (SP)
|
100% |
2992
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5980
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3463
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5361
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10967
84.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7661
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18102
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28216
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23450
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3701
136.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4989
184.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3713
137.1 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3866
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3869
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3622
62.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6719
116.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6724
116.2 IPS |
