iPad Air 11-inch (M2)
Geekbench AI Score
3404
Single Precision Score
5972
Half Precision Score
4857
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 19 2025 06:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1377
256.1 IPS |
|
|
Image Classification (HP)
|
100% |
2527
470.0 IPS |
|
|
Image Classification (Q)
|
96% |
1760
328.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2731
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6735
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
15068
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12891
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.5 IPS |
|
|
Object Detection (HP)
|
97% |
2786
221.8 IPS |
|
|
Object Detection (Q)
|
94% |
2032
162.0 IPS |
|
|
Face Detection (SP)
|
100% |
3074
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
5881
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3445
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5529
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10888
84.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7655
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18405
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29083
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23916
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3962
146.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4991
184.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3714
137.1 IPS |
|
|
Text Classification (SP)
|
100% |
2248
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3823
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3819
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3710
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6414
110.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6497
112.3 IPS |
