iPad Air 11-inch (M2)
Geekbench AI Score
3287
Single Precision Score
5983
Half Precision Score
4856
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 05:15 PM |
| Views | 2 |
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% |
1293
240.5 IPS |
|
|
Image Classification (HP)
|
100% |
2496
464.3 IPS |
|
|
Image Classification (Q)
|
96% |
1750
326.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2374
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2741
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6266
7.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
15118
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12952
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
97% |
2768
220.3 IPS |
|
|
Object Detection (Q)
|
94% |
2022
161.2 IPS |
|
|
Face Detection (SP)
|
100% |
3006
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5910
70.2 IPS |
|
|
Face Detection (Q)
|
100% |
3439
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5423
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10950
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7695
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17958
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28268
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23463
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3785
139.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4998
184.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3704
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3876
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3803
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3529
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6693
115.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6648
114.9 IPS |
