iPad Air 11-inch (M2)
Geekbench AI Score
3458
Single Precision Score
6028
Half Precision Score
4885
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 05:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
2532
470.9 IPS |
|
|
Image Classification (Q)
|
96% |
1768
330.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1480
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2800
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6823
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
15240
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13050
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
97% |
2811
223.7 IPS |
|
|
Object Detection (Q)
|
94% |
2036
162.2 IPS |
|
|
Face Detection (SP)
|
100% |
3147
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6031
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3469
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5621
43.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10956
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7734
60.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18591
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29183
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24134
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4050
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5044
186.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3719
137.3 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3906
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3861
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3696
63.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6405
110.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6336
109.5 IPS |
