iPad Air 11-inch (M2)
Geekbench AI Score
6620
Single Precision Score
7288
Half Precision Score
7176
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 06:16 PM |
| Views | 1 |
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% |
3002
558.2 IPS |
|
|
Image Classification (HP)
|
100% |
3031
563.7 IPS |
|
|
Image Classification (Q)
|
96% |
2800
522.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5233
84.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5354
86.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5126
83.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22442
26.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
24448
28.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
23694
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
3165
251.0 IPS |
|
|
Object Detection (HP)
|
100% |
3098
245.7 IPS |
|
|
Object Detection (Q)
|
92% |
2933
234.1 IPS |
|
|
Face Detection (SP)
|
100% |
9516
113.1 IPS |
|
|
Face Detection (HP)
|
100% |
10591
125.8 IPS |
|
|
Face Detection (Q)
|
100% |
9229
109.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15526
119.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16772
129.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
15319
119.7 IPS |
|
|
Style Transfer (SP)
|
100% |
38748
49.8 IPS |
|
|
Style Transfer (HP)
|
100% |
44117
56.7 IPS |
|
|
Style Transfer (Q)
|
96% |
42882
55.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8055
297.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8567
316.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7603
280.7 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3824
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3818
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1359
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1341
23.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2065
35.7 IPS |
