iPad Air 11-inch (M2)
Geekbench AI Score
3176
Single Precision Score
3518
Half Precision Score
3317
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 18 2025 01:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2854
530.8 IPS |
|
|
Image Classification (HP)
|
100% |
3008
559.4 IPS |
|
|
Image Classification (Q)
|
96% |
2693
502.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5206
84.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5325
86.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5117
82.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
22373
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
24365
28.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
23634
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
3125
247.9 IPS |
|
|
Object Detection (HP)
|
100% |
3070
243.5 IPS |
|
|
Object Detection (Q)
|
92% |
2897
231.2 IPS |
|
|
Face Detection (SP)
|
100% |
9477
112.6 IPS |
|
|
Face Detection (HP)
|
100% |
10537
125.2 IPS |
|
|
Face Detection (Q)
|
100% |
9224
109.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15449
119.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16589
127.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
15226
118.9 IPS |
|
|
Style Transfer (SP)
|
100% |
38569
49.6 IPS |
|
|
Style Transfer (HP)
|
100% |
43975
56.5 IPS |
|
|
Style Transfer (Q)
|
96% |
42691
55.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7863
290.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8310
306.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7614
281.1 IPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3797
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3751
5.03 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
10.2 IPS |
|
|
Machine Translation (HP)
|
0% |
0
11.1 IPS |
|
|
Machine Translation (Q)
|
0% |
0
9.74 IPS |
