iPad Air 11-inch (M2)
Geekbench AI Score
3301
Single Precision Score
26424
Half Precision Score
29210
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KokomiCat |
| Upload Date | October 31 2025 11:45 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1295
240.7 IPS |
|
|
Image Classification (HP)
|
100% |
15198
2.83 KIPS |
|
|
Image Classification (Q)
|
96% |
15395
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19565
317.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24203
392.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6304
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
103443
120.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105643
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1408
111.7 IPS |
|
|
Object Detection (HP)
|
99% |
15612
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17191
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3068
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
33927
403.1 IPS |
|
|
Face Detection (Q)
|
100% |
42854
509.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5471
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
84303
649.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
106555
832.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18049
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203138
261.1 IPS |
|
|
Style Transfer (Q)
|
96% |
195342
252.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3734
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37313
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45431
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3806
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3765
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3581
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4190
72.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4381
75.7 IPS |
