iPad Air 11-inch (M2)
Geekbench AI Score
3424
Single Precision Score
6023
Half Precision Score
4907
Quantized Score
Geekbench AI 1.6.0 Corporate for iOS AArch64
Result Information
| Upload Date | December 02 2025 08:07 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1388
258.2 IPS |
|
|
Image Classification (HP)
|
100% |
2543
473.0 IPS |
|
|
Image Classification (Q)
|
96% |
1776
331.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1457
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2781
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6749
7.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
15206
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13071
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (HP)
|
97% |
2817
224.3 IPS |
|
|
Object Detection (Q)
|
94% |
2054
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
3087
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
5880
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3460
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5581
43.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11006
85.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7731
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18314
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29236
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24199
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4044
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4979
183.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3739
138.1 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3885
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3870
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3734
64.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6600
114.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6523
112.7 IPS |
