iPad Air 11-inch (M2)
Geekbench AI Score
3294
Single Precision Score
25125
Half Precision Score
27238
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 28 2025 01:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1375
255.6 IPS |
|
|
Image Classification (HP)
|
100% |
13987
2.60 KIPS |
|
|
Image Classification (Q)
|
96% |
15394
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19025
308.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23707
384.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6205
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
103393
120.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104347
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
1138
90.2 IPS |
|
|
Object Detection (HP)
|
99% |
14090
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
14460
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3141
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
32438
385.4 IPS |
|
|
Face Detection (Q)
|
100% |
41221
489.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5623
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
72601
559.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
105630
825.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18716
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
201662
259.2 IPS |
|
|
Style Transfer (Q)
|
96% |
192265
248.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4038
149.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36420
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41787
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
2169
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3616
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3584
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3530
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4135
71.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3257
56.3 IPS |
