iPad Air 11-inch (M2)
Geekbench AI Score
6651
Single Precision Score
7753
Half Precision Score
6949
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 03:02 PM |
| Views | 1 |
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% |
3155
586.8 IPS |
|
|
Image Classification (HP)
|
100% |
3166
588.8 IPS |
|
|
Image Classification (Q)
|
96% |
2913
544.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5257
85.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5418
87.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5173
83.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
22530
26.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24519
28.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
23840
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
3189
253.0 IPS |
|
|
Object Detection (HP)
|
100% |
3110
246.7 IPS |
|
|
Object Detection (Q)
|
92% |
2974
237.4 IPS |
|
|
Face Detection (SP)
|
100% |
9693
115.2 IPS |
|
|
Face Detection (HP)
|
100% |
10751
127.7 IPS |
|
|
Face Detection (Q)
|
100% |
9297
110.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15597
120.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16720
128.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
15336
119.8 IPS |
|
|
Style Transfer (SP)
|
100% |
38811
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
44165
56.8 IPS |
|
|
Style Transfer (Q)
|
96% |
42975
55.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8097
299.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8884
328.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7534
278.2 IPS |
|
|
Text Classification (SP)
|
100% |
2274
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
3919
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3955
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1316
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2172
37.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1347
23.3 IPS |
