iPad Air 11-inch (M2)
Geekbench AI Score
3511
Single Precision Score
6261
Half Precision Score
5081
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | uditrpanchal |
| Upload Date | March 04 2026 06:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1306
242.9 IPS |
|
|
Image Classification (HP)
|
100% |
2503
465.5 IPS |
|
|
Image Classification (Q)
|
96% |
1735
323.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2761
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6198
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
14665
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12521
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1424
113.0 IPS |
|
|
Object Detection (HP)
|
97% |
2833
225.5 IPS |
|
|
Object Detection (Q)
|
94% |
2045
163.0 IPS |
|
|
Face Detection (SP)
|
100% |
3089
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6038
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3487
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5405
41.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10945
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7670
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17970
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28647
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23743
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3801
140.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4653
171.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3521
130.0 IPS |
|
|
Text Classification (SP)
|
99% |
4152
5.54 KIPS |
|
|
Text Classification (HP)
|
99% |
6627
8.85 KIPS |
|
|
Text Classification (Q)
|
93% |
6517
8.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3632
62.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6402
110.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6427
111.1 IPS |
