iPad Air 11-inch (M2)
Geekbench AI Score
3314
Single Precision Score
6011
Half Precision Score
4884
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 02:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1307
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
2531
470.7 IPS |
|
|
Image Classification (Q)
|
96% |
1768
330.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2376
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2754
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6299
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
14977
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13031
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1428
113.3 IPS |
|
|
Object Detection (HP)
|
97% |
2814
224.0 IPS |
|
|
Object Detection (Q)
|
94% |
2033
162.1 IPS |
|
|
Face Detection (SP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
5977
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3470
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5436
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11031
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7668
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18051
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28081
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23344
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3726
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4990
184.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3711
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3870
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3833
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3599
62.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6807
117.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6784
117.2 IPS |
