iPad Air 11-inch (M2)
Geekbench AI Score
3431
Single Precision Score
26482
Half Precision Score
29144
Quantized Score
Geekbench AI 1.6.0 Corporate for iOS AArch64
Result Information
| Upload Date | December 02 2025 08:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1382
257.0 IPS |
|
|
Image Classification (HP)
|
100% |
14301
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
14557
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19585
317.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24022
389.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6782
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
105536
123.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
106718
125.1 IPS |
|
|
Object Detection (SP)
|
100% |
1523
120.8 IPS |
|
|
Object Detection (HP)
|
99% |
15189
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17452
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3081
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
32776
389.4 IPS |
|
|
Face Detection (Q)
|
100% |
41174
489.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5596
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
86342
665.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
106034
828.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18285
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
204733
263.2 IPS |
|
|
Style Transfer (Q)
|
96% |
196740
253.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4052
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40443
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47954
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3897
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3857
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3752
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4138
71.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4274
73.9 IPS |
