iPad Air 11-inch (M2)
Geekbench AI Score
3293
Single Precision Score
6009
Half Precision Score
4872
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 18 2025 01:41 PM |
| Views | 2 |
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% |
1296
241.0 IPS |
|
|
Image Classification (HP)
|
100% |
2530
470.4 IPS |
|
|
Image Classification (Q)
|
96% |
1760
328.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2380
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2769
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6325
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
15056
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12872
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
97% |
2818
224.3 IPS |
|
|
Object Detection (Q)
|
94% |
2035
162.2 IPS |
|
|
Face Detection (SP)
|
100% |
3015
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5990
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3478
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5368
41.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10943
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7643
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18108
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28126
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23415
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3809
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5049
186.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3715
137.2 IPS |
|
|
Text Classification (SP)
|
100% |
2213
2.95 KIPS |
|
|
Text Classification (HP)
|
99% |
3788
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3760
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3604
62.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6824
117.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6791
117.4 IPS |
