iPad Air 11-inch (M2)
Geekbench AI Score
3290
Single Precision Score
26494
Half Precision Score
29440
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 06:59 PM |
| Views | 1 |
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% |
1297
241.1 IPS |
|
|
Image Classification (HP)
|
100% |
14749
2.74 KIPS |
|
|
Image Classification (Q)
|
96% |
15439
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19767
320.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24059
390.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6258
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
103653
120.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105119
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (HP)
|
99% |
15363
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
18187
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
33830
402.0 IPS |
|
|
Face Detection (Q)
|
100% |
42597
506.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5479
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
86210
664.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
107008
836.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17995
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
203245
261.3 IPS |
|
|
Style Transfer (Q)
|
96% |
192294
248.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3799
140.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38569
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47473
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
99% |
3794
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3767
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4232
72.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4394
75.9 IPS |
