iPad Air 11-inch (M2)
Geekbench AI Score
6839
Single Precision Score
7426
Half Precision Score
6841
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | November 29 2025 01:53 PM |
| Views | 19 |
| Notes | iPad Air 11-inch (M2)/8GB/128GB |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2955
549.6 IPS |
|
|
Image Classification (HP)
|
100% |
3018
561.2 IPS |
|
|
Image Classification (Q)
|
96% |
2765
516.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5229
84.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5354
86.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5128
83.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22428
26.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
24443
28.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
23742
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
3163
250.9 IPS |
|
|
Object Detection (HP)
|
100% |
3105
246.3 IPS |
|
|
Object Detection (Q)
|
92% |
2936
234.3 IPS |
|
|
Face Detection (SP)
|
100% |
9570
113.7 IPS |
|
|
Face Detection (HP)
|
100% |
10946
130.1 IPS |
|
|
Face Detection (Q)
|
100% |
9248
109.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15548
119.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16749
129.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
15320
119.7 IPS |
|
|
Style Transfer (SP)
|
100% |
38976
50.1 IPS |
|
|
Style Transfer (HP)
|
100% |
44143
56.7 IPS |
|
|
Style Transfer (Q)
|
96% |
42879
55.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8041
296.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8567
316.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7522
277.8 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
3905
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3824
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1925
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1536
26.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1301
22.5 IPS |
