iPad Air 11-inch (M2)
Geekbench AI Score
3428
Single Precision Score
5981
Half Precision Score
4861
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 17 2025 02:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1378
256.2 IPS |
|
|
Image Classification (HP)
|
100% |
2501
465.2 IPS |
|
|
Image Classification (Q)
|
96% |
1757
328.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1483
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2744
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6758
7.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
15145
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13082
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.3 IPS |
|
|
Object Detection (HP)
|
97% |
2781
221.4 IPS |
|
|
Object Detection (Q)
|
94% |
2034
162.1 IPS |
|
|
Face Detection (SP)
|
100% |
3123
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
5980
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3472
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5610
43.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10969
84.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7724
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18612
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29200
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24175
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4050
149.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5117
189.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3726
137.6 IPS |
|
|
Text Classification (SP)
|
100% |
2212
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3753
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3741
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3671
63.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6326
109.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6365
110.0 IPS |
