iPad Air 11-inch (M2)
Geekbench AI Score
3292
Single Precision Score
5969
Half Precision Score
4857
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 09:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1285
239.0 IPS |
|
|
Image Classification (HP)
|
100% |
2482
461.5 IPS |
|
|
Image Classification (Q)
|
96% |
1719
321.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2735
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6305
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
15045
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13007
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (HP)
|
97% |
2801
223.0 IPS |
|
|
Object Detection (Q)
|
94% |
2033
162.0 IPS |
|
|
Face Detection (SP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5932
70.5 IPS |
|
|
Face Detection (Q)
|
100% |
3441
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5419
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10943
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7673
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18040
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28162
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23417
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3727
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4980
183.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3718
137.3 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3790
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3781
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3579
61.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6766
116.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6765
116.9 IPS |
