iPad Air 11-inch (M2)
Geekbench AI Score
3467
Single Precision Score
6033
Half Precision Score
4910
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 03 2025 08:29 PM |
| Views | 3 |
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% |
1403
260.8 IPS |
|
|
Image Classification (HP)
|
100% |
2541
472.6 IPS |
|
|
Image Classification (Q)
|
96% |
1780
332.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2403
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2803
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6862
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
15343
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13138
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1535
121.7 IPS |
|
|
Object Detection (HP)
|
97% |
2815
224.1 IPS |
|
|
Object Detection (Q)
|
94% |
2053
163.6 IPS |
|
|
Face Detection (SP)
|
100% |
3132
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6007
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3482
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5654
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11000
85.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7772
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18641
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29335
37.7 IPS |
|
|
Style Transfer (Q)
|
96% |
24267
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4043
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4987
184.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3739
138.1 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3906
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3904
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3719
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6415
110.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6316
109.1 IPS |
