iPad Air 11-inch (M2)
Geekbench AI Score
3305
Single Precision Score
26553
Half Precision Score
28986
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | November 29 2025 01:55 PM |
| Views | 23 |
| Notes | iPad Air 11-inch (M2)/8GB/128GB |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1290
240.0 IPS |
|
|
Image Classification (HP)
|
100% |
14561
2.71 KIPS |
|
|
Image Classification (Q)
|
96% |
15476
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19841
321.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23862
386.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6326
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
106149
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105063
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
99% |
15551
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
16834
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3037
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
34017
404.2 IPS |
|
|
Face Detection (Q)
|
100% |
42831
508.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5367
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
84789
653.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
102383
800.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18093
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
205606
264.3 IPS |
|
|
Style Transfer (Q)
|
96% |
195881
252.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3824
141.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36863
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44084
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3889
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3812
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3618
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4299
74.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4441
76.7 IPS |
