iPad Air 11-inch (M2)
Geekbench AI Score
6841
Single Precision Score
7337
Half Precision Score
6839
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | pakitt |
| Upload Date | August 03 2025 12:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
3009
559.6 IPS |
|
|
Image Classification (HP)
|
100% |
3040
565.4 IPS |
|
|
Image Classification (Q)
|
96% |
2783
519.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5231
84.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5349
86.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5132
83.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22371
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
24462
28.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
23791
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
3156
250.3 IPS |
|
|
Object Detection (HP)
|
100% |
3119
247.4 IPS |
|
|
Object Detection (Q)
|
92% |
2951
235.6 IPS |
|
|
Face Detection (SP)
|
100% |
9646
114.6 IPS |
|
|
Face Detection (HP)
|
100% |
11055
131.4 IPS |
|
|
Face Detection (Q)
|
100% |
9265
110.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15554
119.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16691
128.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
15248
119.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38303
49.2 IPS |
|
|
Style Transfer (HP)
|
100% |
44243
56.9 IPS |
|
|
Style Transfer (Q)
|
96% |
42977
55.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8031
296.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8486
313.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7402
273.3 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3876
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3848
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1900
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1357
23.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1292
22.3 IPS |
