iPad Air 11-inch (M2)
Geekbench AI Score
3462
Single Precision Score
5946
Half Precision Score
4835
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | daizko |
| Upload Date | February 22 2025 05:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
2527
469.9 IPS |
|
|
Image Classification (Q)
|
96% |
1759
328.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2462
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2870
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6843
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
14761
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12704
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2887
229.8 IPS |
|
|
Object Detection (Q)
|
94% |
2090
166.6 IPS |
|
|
Face Detection (SP)
|
100% |
3142
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6230
74.0 IPS |
|
|
Face Detection (Q)
|
100% |
3552
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5656
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11675
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7989
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18777
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28474
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23693
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4068
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4836
178.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3617
133.6 IPS |
|
|
Text Classification (SP)
|
100% |
2230
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3671
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3781
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3595
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5675
98.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5670
98.0 IPS |
