iPad Air 11-inch (M2)
Geekbench AI Score
3256
Single Precision Score
5899
Half Precision Score
4823
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 16 2025 05:35 AM |
| Views | 4 |
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% |
1242
230.9 IPS |
|
|
Image Classification (HP)
|
100% |
2401
446.4 IPS |
|
|
Image Classification (Q)
|
96% |
1689
315.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2273
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2732
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6286
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
14997
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12811
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (HP)
|
97% |
2729
217.2 IPS |
|
|
Object Detection (Q)
|
94% |
1999
159.4 IPS |
|
|
Face Detection (SP)
|
100% |
2959
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5942
70.6 IPS |
|
|
Face Detection (Q)
|
100% |
3448
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5332
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10768
83.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7589
59.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18046
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28125
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23664
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3729
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4962
183.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3711
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3767
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3719
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3566
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6793
117.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6750
116.6 IPS |
