iPad Air 11-inch (M2)
Geekbench AI Score
3276
Single Precision Score
26862
Half Precision Score
29439
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 12 2026 02:36 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
1289
239.8 IPS |
|
|
Image Classification (HP)
|
100% |
14824
2.76 KIPS |
|
|
Image Classification (Q)
|
96% |
15350
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19838
321.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24288
393.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6326
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
106733
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105394
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
99% |
15917
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
16863
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3039
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
34151
405.8 IPS |
|
|
Face Detection (Q)
|
100% |
43679
519.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5336
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88186
679.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
107341
838.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18068
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
205256
263.9 IPS |
|
|
Style Transfer (Q)
|
96% |
195764
252.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3731
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39281
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46475
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3764
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3889
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3434
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4284
73.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4449
76.9 IPS |
