iPad Air 11-inch (M2)
Geekbench AI Score
3450
Single Precision Score
5920
Half Precision Score
4799
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 08:03 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% |
1389
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
2512
467.1 IPS |
|
|
Image Classification (Q)
|
96% |
1743
325.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2452
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2815
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6874
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14723
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12681
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.1 IPS |
|
|
Object Detection (HP)
|
97% |
2880
229.3 IPS |
|
|
Object Detection (Q)
|
94% |
2073
165.3 IPS |
|
|
Face Detection (SP)
|
100% |
3168
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6159
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
3545
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5677
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11577
89.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7978
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18820
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28391
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23620
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4075
150.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4835
178.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3589
132.5 IPS |
|
|
Text Classification (SP)
|
100% |
2168
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3625
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3682
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3529
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5712
98.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5691
98.3 IPS |
