iPad Air 11-inch (M2)
Geekbench AI Score
3318
Single Precision Score
26544
Half Precision Score
29068
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 02:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1303
242.4 IPS |
|
|
Image Classification (HP)
|
100% |
14983
2.79 KIPS |
|
|
Image Classification (Q)
|
96% |
15567
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1485
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19803
321.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23902
387.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6287
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
106557
124.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105359
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1416
112.4 IPS |
|
|
Object Detection (HP)
|
99% |
15691
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17756
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3090
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
34223
406.6 IPS |
|
|
Face Detection (Q)
|
100% |
43571
517.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5488
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
81964
631.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
109952
859.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18045
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201661
259.2 IPS |
|
|
Style Transfer (Q)
|
96% |
189040
243.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3725
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38152
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40790
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3836
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3806
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3589
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4229
72.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4402
76.1 IPS |
