iPad Air 11-inch (M2)
Geekbench AI Score
3469
Single Precision Score
6015
Half Precision Score
4885
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 06 2025 06:43 PM |
| Views | 1 |
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% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
2538
471.9 IPS |
|
|
Image Classification (Q)
|
96% |
1764
329.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1481
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2784
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6852
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
15143
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12899
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1539
122.1 IPS |
|
|
Object Detection (HP)
|
97% |
2819
224.5 IPS |
|
|
Object Detection (Q)
|
94% |
2052
163.6 IPS |
|
|
Face Detection (SP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6011
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3474
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5641
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10969
84.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7717
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18664
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28981
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24213
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4063
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4982
184.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3735
137.9 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3868
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3858
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3720
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6396
110.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6375
110.2 IPS |
