iPad Air 11-inch (M2)
Geekbench AI Score
3316
Single Precision Score
26471
Half Precision Score
29202
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 03:42 PM |
| Views | 2 |
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
240.9 IPS |
|
|
Image Classification (HP)
|
100% |
14262
2.65 KIPS |
|
|
Image Classification (Q)
|
96% |
15599
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19649
318.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23906
387.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6315
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
101569
118.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105556
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
99% |
15727
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17235
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3086
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
33926
403.1 IPS |
|
|
Face Detection (Q)
|
100% |
42887
509.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5476
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
84581
651.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
107819
842.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18138
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201752
259.4 IPS |
|
|
Style Transfer (Q)
|
96% |
195949
252.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3812
140.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40208
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43893
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3814
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3793
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3607
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4251
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4407
76.2 IPS |
