iPad Air 13-inch (M2)
Geekbench AI Score
3277
Single Precision Score
6003
Half Precision Score
4872
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 12:05 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 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1257
233.8 IPS |
|
|
Image Classification (HP)
|
100% |
2524
469.4 IPS |
|
|
Image Classification (Q)
|
96% |
1774
331.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2769
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6305
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
14971
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12793
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1407
111.6 IPS |
|
|
Object Detection (HP)
|
97% |
2795
222.5 IPS |
|
|
Object Detection (Q)
|
94% |
2033
162.0 IPS |
|
|
Face Detection (SP)
|
100% |
2994
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
5990
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3464
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5356
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10991
85.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7643
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18042
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28162
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23383
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3716
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4993
184.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3700
136.6 IPS |
|
|
Text Classification (SP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3850
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3836
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3595
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6760
116.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6725
116.2 IPS |
