iPad Air 11-inch (M2)
Geekbench AI Score
3511
Single Precision Score
28012
Half Precision Score
31113
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | uditrpanchal |
| Upload Date | March 04 2026 06:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1302
242.1 IPS |
|
|
Image Classification (HP)
|
100% |
14370
2.67 KIPS |
|
|
Image Classification (Q)
|
97% |
15568
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1479
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19830
321.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24914
403.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6216
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
105512
123.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105592
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1432
113.6 IPS |
|
|
Object Detection (HP)
|
99% |
15396
1.22 KIPS |
|
|
Object Detection (Q)
|
89% |
17067
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3100
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
35221
418.5 IPS |
|
|
Face Detection (Q)
|
100% |
47356
562.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5409
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
83988
647.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
102179
799.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17970
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
206745
265.8 IPS |
|
|
Style Transfer (Q)
|
96% |
185096
238.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3659
135.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37353
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47282
1.75 KIPS |
|
|
Text Classification (SP)
|
99% |
4157
5.55 KIPS |
|
|
Text Classification (HP)
|
99% |
6547
8.74 KIPS |
|
|
Text Classification (Q)
|
92% |
6515
8.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3625
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4297
74.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4409
76.2 IPS |
