iPad Air 11-inch (M2)
Geekbench AI Score
3447
Single Precision Score
5988
Half Precision Score
4876
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 06 2025 07:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad Air 11-inch (M2) |
| Model ID | iPad14,9 |
| Motherboard | J508AP |
| 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% |
1384
257.4 IPS |
|
|
Image Classification (HP)
|
100% |
2521
468.8 IPS |
|
|
Image Classification (Q)
|
96% |
1764
329.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1470
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2400
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2788
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6836
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
15136
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12913
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1535
121.8 IPS |
|
|
Object Detection (HP)
|
97% |
2807
223.5 IPS |
|
|
Object Detection (Q)
|
94% |
2048
163.2 IPS |
|
|
Face Detection (SP)
|
100% |
3135
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
5996
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3479
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5641
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10928
84.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7672
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18612
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28995
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24065
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4029
148.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4979
183.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3740
138.1 IPS |
|
|
Text Classification (SP)
|
100% |
2266
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3846
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3817
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3702
63.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6339
109.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6374
110.2 IPS |
