iPad Air 11-inch (M2)
Geekbench AI Score
6612
Single Precision Score
7647
Half Precision Score
6844
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 03:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2981
554.3 IPS |
|
|
Image Classification (HP)
|
100% |
2975
553.3 IPS |
|
|
Image Classification (Q)
|
96% |
2775
518.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5242
85.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5348
86.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5125
83.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22340
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
24365
28.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
23803
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
3140
249.1 IPS |
|
|
Object Detection (HP)
|
100% |
3104
246.2 IPS |
|
|
Object Detection (Q)
|
92% |
2942
234.9 IPS |
|
|
Face Detection (SP)
|
100% |
9511
113.0 IPS |
|
|
Face Detection (HP)
|
100% |
10777
128.0 IPS |
|
|
Face Detection (Q)
|
100% |
9107
108.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15609
120.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17090
131.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
15476
120.9 IPS |
|
|
Style Transfer (SP)
|
100% |
38906
50.0 IPS |
|
|
Style Transfer (HP)
|
100% |
44084
56.7 IPS |
|
|
Style Transfer (Q)
|
96% |
42833
55.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8035
296.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8495
313.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7388
272.8 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3834
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3789
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2150
37.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1341
23.2 IPS |
