iPad Air 11-inch (M2)
Geekbench AI Score
6598
Single Precision Score
7271
Half Precision Score
6830
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KokomiCat |
| Upload Date | October 31 2025 11:43 PM |
| Views | 4 |
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% |
2993
556.5 IPS |
|
|
Image Classification (HP)
|
100% |
3031
563.7 IPS |
|
|
Image Classification (Q)
|
96% |
2741
511.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5229
84.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5347
86.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5141
83.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22413
26.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
24420
28.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
23716
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
3170
251.4 IPS |
|
|
Object Detection (HP)
|
100% |
3110
246.6 IPS |
|
|
Object Detection (Q)
|
92% |
2940
234.7 IPS |
|
|
Face Detection (SP)
|
100% |
9583
113.9 IPS |
|
|
Face Detection (HP)
|
100% |
10788
128.2 IPS |
|
|
Face Detection (Q)
|
100% |
9246
109.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15666
120.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16721
128.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
15376
120.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38957
50.1 IPS |
|
|
Style Transfer (HP)
|
100% |
44127
56.7 IPS |
|
|
Style Transfer (Q)
|
96% |
42895
55.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8105
299.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8515
314.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7411
273.7 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3800
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3828
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1294
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1301
22.5 IPS |
