iPad Air 11-inch (M2)
Geekbench AI Score
2116
Single Precision Score
3787
Half Precision Score
3029
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 10 2026 06:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
775
144.1 IPS |
|
|
Image Classification (HP)
|
100% |
1503
279.6 IPS |
|
|
Image Classification (Q)
|
96% |
1041
194.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1677
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3760
4.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
9419
11.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
8013
9.39 IPS |
|
|
Object Detection (SP)
|
100% |
920
73.0 IPS |
|
|
Object Detection (HP)
|
97% |
1765
140.5 IPS |
|
|
Object Detection (Q)
|
94% |
1248
99.5 IPS |
|
|
Face Detection (SP)
|
100% |
2078
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
3763
44.7 IPS |
|
|
Face Detection (Q)
|
100% |
2114
25.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3433
26.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
6926
53.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
4769
37.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11123
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17300
22.2 IPS |
|
|
Style Transfer (Q)
|
96% |
14319
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2400
88.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3206
118.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2343
86.5 IPS |
|
|
Text Classification (SP)
|
100% |
1575
2.10 KIPS |
|
|
Text Classification (HP)
|
99% |
2475
3.30 KIPS |
|
|
Text Classification (Q)
|
93% |
2481
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2364
40.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4453
76.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4449
76.9 IPS |
