iPad Air 11-inch (M2)
Geekbench AI Score
5745
Single Precision Score
6625
Half Precision Score
5881
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 15 2025 09:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
2927
544.3 IPS |
|
|
Image Classification (HP)
|
100% |
2951
548.8 IPS |
|
|
Image Classification (Q)
|
97% |
2484
463.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3834
62.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4563
74.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4592
74.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22312
26.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
23633
27.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
22096
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
2938
233.0 IPS |
|
|
Object Detection (HP)
|
100% |
3166
251.2 IPS |
|
|
Object Detection (Q)
|
91% |
2642
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
9633
114.5 IPS |
|
|
Face Detection (HP)
|
100% |
10876
129.2 IPS |
|
|
Face Detection (Q)
|
100% |
7651
90.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15334
118.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16328
125.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
13616
106.4 IPS |
|
|
Style Transfer (SP)
|
100% |
38506
49.5 IPS |
|
|
Style Transfer (HP)
|
100% |
43487
55.9 IPS |
|
|
Style Transfer (Q)
|
96% |
40770
52.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7858
290.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8208
303.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6546
241.7 IPS |
|
|
Text Classification (SP)
|
100% |
2164
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3611
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3633
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
551
9.50 IPS |
|
|
Machine Translation (HP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (Q)
|
98% |
737
12.7 IPS |
