iPad Air 11-inch (M2)
Geekbench AI Score
3448
Single Precision Score
5984
Half Precision Score
4870
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 24 2025 07:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
2530
470.6 IPS |
|
|
Image Classification (Q)
|
96% |
1767
329.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1488
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2788
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6821
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
15238
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12913
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1541
122.2 IPS |
|
|
Object Detection (HP)
|
97% |
2815
224.1 IPS |
|
|
Object Detection (Q)
|
94% |
2040
162.6 IPS |
|
|
Face Detection (SP)
|
100% |
3130
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
5993
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3469
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5572
42.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10925
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7687
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18662
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29018
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24266
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3964
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4943
182.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3730
137.7 IPS |
|
|
Text Classification (SP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3768
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3763
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3724
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6378
110.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6374
110.2 IPS |
