iPad Air 11-inch (M2)
Geekbench AI Score
6474
Single Precision Score
7040
Half Precision Score
6624
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 01 2025 01:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2882
535.9 IPS |
|
|
Image Classification (HP)
|
100% |
3028
563.1 IPS |
|
|
Image Classification (Q)
|
96% |
2789
520.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5037
81.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5219
84.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5020
81.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
21799
25.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
23705
27.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
22992
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
3136
248.7 IPS |
|
|
Object Detection (HP)
|
100% |
3236
256.7 IPS |
|
|
Object Detection (Q)
|
92% |
2839
226.6 IPS |
|
|
Face Detection (SP)
|
100% |
9062
107.7 IPS |
|
|
Face Detection (HP)
|
100% |
10027
119.1 IPS |
|
|
Face Detection (Q)
|
100% |
8330
99.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13243
102.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13635
105.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
14298
111.8 IPS |
|
|
Style Transfer (SP)
|
100% |
34711
44.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36380
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
38415
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7872
290.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8771
323.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7732
285.5 IPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3812
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3765
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1782
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1485
25.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1338
23.1 IPS |
