iPad Air 11-inch (M2)
Geekbench AI Score
3315
Single Precision Score
26415
Half Precision Score
29138
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 01:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1308
243.3 IPS |
|
|
Image Classification (HP)
|
100% |
14040
2.61 KIPS |
|
|
Image Classification (Q)
|
96% |
15515
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19797
320.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24147
391.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6318
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
104759
122.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105471
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
1420
112.6 IPS |
|
|
Object Detection (HP)
|
99% |
15490
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
16675
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
2989
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
33882
402.6 IPS |
|
|
Face Detection (Q)
|
100% |
42799
508.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5414
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87294
672.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
107951
843.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18133
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
205214
263.8 IPS |
|
|
Style Transfer (Q)
|
96% |
191441
247.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3848
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36799
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42641
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3958
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4012
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3628
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4149
71.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4425
76.5 IPS |
