iPad Air 13-inch (M2)
Geekbench AI Score
3453
Single Precision Score
6026
Half Precision Score
4885
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 06:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| Model | iPad Air 13-inch (M2) |
| Model ID | iPad14,10 |
| Motherboard | J537AP |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1378
256.3 IPS |
|
|
Image Classification (HP)
|
100% |
2505
465.8 IPS |
|
|
Image Classification (Q)
|
96% |
1749
326.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2374
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2741
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6837
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
15126
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13092
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1533
121.6 IPS |
|
|
Object Detection (HP)
|
97% |
2810
223.7 IPS |
|
|
Object Detection (Q)
|
94% |
2040
162.6 IPS |
|
|
Face Detection (SP)
|
100% |
3102
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6003
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3501
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5608
43.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11007
85.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7682
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18636
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29234
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24193
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4097
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5173
191.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3727
137.6 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3893
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3912
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3702
63.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6424
111.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6372
110.1 IPS |
