iPad Air 11-inch (M2)
Geekbench AI Score
3298
Single Precision Score
6000
Half Precision Score
4879
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 20 2025 08:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1282
238.4 IPS |
|
|
Image Classification (HP)
|
100% |
2476
460.5 IPS |
|
|
Image Classification (Q)
|
96% |
1725
322.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2739
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6295
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
15113
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12993
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1420
112.7 IPS |
|
|
Object Detection (HP)
|
97% |
2807
223.5 IPS |
|
|
Object Detection (Q)
|
94% |
2042
162.7 IPS |
|
|
Face Detection (SP)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
6002
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3482
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5388
41.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10912
84.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7696
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18098
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28413
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23391
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3724
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4961
183.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3730
137.7 IPS |
|
|
Text Classification (SP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3898
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3865
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3623
62.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6760
116.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6754
116.7 IPS |
