iPad Air 11-inch (M2)
Geekbench AI Score
3311
Single Precision Score
6022
Half Precision Score
4911
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 07 2026 01:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1308
243.2 IPS |
|
|
Image Classification (HP)
|
100% |
2536
471.6 IPS |
|
|
Image Classification (Q)
|
96% |
1768
330.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2775
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6305
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
14999
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13030
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
97% |
2818
224.4 IPS |
|
|
Object Detection (Q)
|
94% |
2042
162.7 IPS |
|
|
Face Detection (SP)
|
100% |
3070
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6016
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
3468
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5379
41.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10946
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7693
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18133
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28179
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23463
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3735
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4955
182.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3748
138.4 IPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3906
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3897
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3609
62.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6807
117.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6847
118.3 IPS |
