iPad Air 11-inch (M2)
Geekbench AI Score
3519
Single Precision Score
6385
Half Precision Score
5173
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | dguetzkow |
| Upload Date | April 06 2026 02:18 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1292
240.2 IPS |
|
|
Image Classification (HP)
|
100% |
2467
458.8 IPS |
|
|
Image Classification (Q)
|
96% |
1719
321.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1467
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2431
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2751
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6213
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
15187
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13069
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
97% |
2810
223.7 IPS |
|
|
Object Detection (Q)
|
94% |
2041
162.7 IPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6066
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3513
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5370
41.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11002
85.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7766
60.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17916
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29223
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24189
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3767
139.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5203
192.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3757
138.7 IPS |
|
|
Text Classification (SP)
|
99% |
4329
5.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6704
8.95 KIPS |
|
|
Text Classification (Q)
|
93% |
6867
9.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3638
62.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6469
111.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6400
110.6 IPS |
