iPad Air 11-inch (M2)
Geekbench AI Score
3273
Single Precision Score
5729
Half Precision Score
4804
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 01:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1305
242.6 IPS |
|
|
Image Classification (HP)
|
100% |
2544
473.1 IPS |
|
|
Image Classification (Q)
|
96% |
1765
329.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2781
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6303
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
15227
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13062
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1433
113.7 IPS |
|
|
Object Detection (HP)
|
97% |
2801
223.0 IPS |
|
|
Object Detection (Q)
|
94% |
2039
162.6 IPS |
|
|
Face Detection (SP)
|
100% |
3005
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5943
70.6 IPS |
|
|
Face Detection (Q)
|
100% |
3475
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5391
41.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10925
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7716
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18077
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21483
27.6 IPS |
|
|
Style Transfer (Q)
|
96% |
18606
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3831
141.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4040
149.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3723
137.5 IPS |
|
|
Text Classification (SP)
|
100% |
2052
2.74 KIPS |
|
|
Text Classification (HP)
|
99% |
3846
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3887
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3612
62.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6819
117.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6947
120.1 IPS |
