iPad Air 11-inch (M2)
Geekbench AI Score
6684
Single Precision Score
7461
Half Precision Score
6807
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 02:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
3000
557.9 IPS |
|
|
Image Classification (HP)
|
100% |
2909
541.0 IPS |
|
|
Image Classification (Q)
|
96% |
2762
515.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5239
84.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5366
87.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5135
83.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22371
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
24470
28.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
23739
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
3155
250.2 IPS |
|
|
Object Detection (HP)
|
100% |
3102
246.1 IPS |
|
|
Object Detection (Q)
|
92% |
2941
234.7 IPS |
|
|
Face Detection (SP)
|
100% |
9612
114.2 IPS |
|
|
Face Detection (HP)
|
100% |
10964
130.3 IPS |
|
|
Face Detection (Q)
|
100% |
9245
109.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15549
119.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16763
129.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
15308
119.6 IPS |
|
|
Style Transfer (SP)
|
100% |
38683
49.7 IPS |
|
|
Style Transfer (HP)
|
100% |
44226
56.9 IPS |
|
|
Style Transfer (Q)
|
96% |
42907
55.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8017
296.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8581
316.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7445
274.9 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3786
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3679
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1507
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1709
29.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1298
22.4 IPS |
