iPad Air 11-inch (M2)
Geekbench AI Score
3473
Single Precision Score
5961
Half Precision Score
4825
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 08:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
2532
470.8 IPS |
|
|
Image Classification (Q)
|
96% |
1768
330.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2489
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2868
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6879
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14781
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12709
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2885
229.7 IPS |
|
|
Object Detection (Q)
|
94% |
2077
165.5 IPS |
|
|
Face Detection (SP)
|
100% |
3171
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6180
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3551
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5686
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11652
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7998
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18857
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28442
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23683
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4074
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4832
178.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3589
132.5 IPS |
|
|
Text Classification (SP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3742
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3719
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3559
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5695
98.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5695
98.4 IPS |
