iPad Air 11-inch (M2)
Geekbench AI Score
3529
Single Precision Score
28174
Half Precision Score
31197
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Suavenieve |
| Upload Date | February 19 2026 02:29 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1321
245.7 IPS |
|
|
Image Classification (HP)
|
100% |
14322
2.66 KIPS |
|
|
Image Classification (Q)
|
97% |
15945
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19793
320.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24600
398.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6188
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
99873
116.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105812
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
1419
112.5 IPS |
|
|
Object Detection (HP)
|
99% |
15653
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17850
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3076
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
34852
414.1 IPS |
|
|
Face Detection (Q)
|
100% |
47333
562.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5373
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
86639
667.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
105414
824.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17936
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
204828
263.3 IPS |
|
|
Style Transfer (Q)
|
96% |
185490
239.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3751
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40893
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43327
1.60 KIPS |
|
|
Text Classification (SP)
|
99% |
4470
5.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6643
8.87 KIPS |
|
|
Text Classification (Q)
|
93% |
6682
8.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3600
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4233
72.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4400
76.0 IPS |
