iPad Air 13-inch (M2)
Geekbench AI Score
3284
Single Precision Score
6012
Half Precision Score
4880
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 09:47 PM |
| Views | 1 |
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% |
1285
238.9 IPS |
|
|
Image Classification (HP)
|
100% |
2495
464.0 IPS |
|
|
Image Classification (Q)
|
96% |
1739
324.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1416
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2360
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2734
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6313
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
15001
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12835
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1424
112.9 IPS |
|
|
Object Detection (HP)
|
97% |
2810
223.7 IPS |
|
|
Object Detection (Q)
|
94% |
2044
162.9 IPS |
|
|
Face Detection (SP)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
6003
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3468
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5353
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10909
84.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7654
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18085
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28209
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23422
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3708
136.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5041
186.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3720
137.4 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
3893
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3892
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3615
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6861
118.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6823
117.9 IPS |
