iPad Air 11-inch (M2)
Geekbench AI Score
3305
Single Precision Score
26722
Half Precision Score
29225
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 02:00 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% |
1302
242.1 IPS |
|
|
Image Classification (HP)
|
100% |
14771
2.75 KIPS |
|
|
Image Classification (Q)
|
96% |
15507
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19656
318.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24041
389.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6332
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
105972
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104459
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1429
113.4 IPS |
|
|
Object Detection (HP)
|
99% |
15696
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
16732
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3003
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
33774
401.3 IPS |
|
|
Face Detection (Q)
|
100% |
42763
508.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5396
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86889
669.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
104487
816.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18058
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204391
262.7 IPS |
|
|
Style Transfer (Q)
|
96% |
190797
246.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3733
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39235
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47296
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3903
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3887
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3613
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4186
72.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4452
76.9 IPS |
