iPad Air 13-inch (M2)
Geekbench AI Score
3301
Single Precision Score
6031
Half Precision Score
4873
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | January 01 2026 08:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad Air 13-inch (M2) |
| Model ID | iPad14,11 |
| Motherboard | J538AP |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1304
242.5 IPS |
|
|
Image Classification (HP)
|
100% |
2541
472.6 IPS |
|
|
Image Classification (Q)
|
96% |
1777
331.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2754
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6299
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
15181
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12794
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
97% |
2800
222.9 IPS |
|
|
Object Detection (Q)
|
94% |
2036
162.3 IPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5988
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3467
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5342
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10895
84.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7663
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18047
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28160
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23345
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3719
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4979
183.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3698
136.6 IPS |
|
|
Text Classification (SP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3889
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3844
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6755
116.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6725
116.2 IPS |
