iPad Air 11-inch (M2)
Geekbench AI Score
3462
Single Precision Score
6062
Half Precision Score
4901
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | pakitt |
| Upload Date | August 03 2025 12:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1374
255.5 IPS |
|
|
Image Classification (HP)
|
100% |
2492
463.5 IPS |
|
|
Image Classification (Q)
|
96% |
1733
323.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1481
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2435
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2742
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6839
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
15185
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12978
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1540
122.1 IPS |
|
|
Object Detection (HP)
|
97% |
2826
225.0 IPS |
|
|
Object Detection (Q)
|
94% |
2045
163.0 IPS |
|
|
Face Detection (SP)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6030
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3494
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5574
42.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11005
85.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7717
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18642
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29010
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24211
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3993
147.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5027
185.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3710
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3873
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3873
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3872
66.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6875
118.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6764
116.9 IPS |
