iPad Air 11-inch (M2)
Geekbench AI Score
3455
Single Precision Score
5918
Half Precision Score
4797
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 04:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1382
257.0 IPS |
|
|
Image Classification (HP)
|
100% |
2498
464.6 IPS |
|
|
Image Classification (Q)
|
96% |
1741
325.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1567
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2440
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2821
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6847
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
14767
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12671
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
97% |
2864
228.0 IPS |
|
|
Object Detection (Q)
|
94% |
2070
165.0 IPS |
|
|
Face Detection (SP)
|
100% |
3153
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6145
73.0 IPS |
|
|
Face Detection (Q)
|
100% |
3530
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5660
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11599
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7973
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18824
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28403
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23736
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4076
150.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4745
175.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3552
131.2 IPS |
|
|
Text Classification (SP)
|
100% |
2164
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3754
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3706
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3544
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5674
98.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5699
98.5 IPS |
