iPad Air 11-inch (M2)
Geekbench AI Score
3303
Single Precision Score
5996
Half Precision Score
4860
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dionatanfelipe |
| Upload Date | October 25 2025 03:38 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1300
241.7 IPS |
|
|
Image Classification (HP)
|
100% |
2512
467.1 IPS |
|
|
Image Classification (Q)
|
96% |
1726
322.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2741
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6308
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
15030
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12829
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1420
112.6 IPS |
|
|
Object Detection (HP)
|
97% |
2809
223.6 IPS |
|
|
Object Detection (Q)
|
94% |
2038
162.4 IPS |
|
|
Face Detection (SP)
|
100% |
3059
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5981
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3456
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5397
41.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10947
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7691
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18100
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28282
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23474
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3735
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4977
183.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3719
137.3 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3824
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3800
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3611
62.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6797
117.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6753
116.7 IPS |
