iPad Air 11-inch (M2)
Geekbench AI Score
3499
Single Precision Score
28139
Half Precision Score
31816
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | dguetzkow |
| Upload Date | April 06 2026 02:23 AM |
| Views | 10 |
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% |
14531
2.70 KIPS |
|
|
Image Classification (Q)
|
97% |
16188
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19875
322.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25082
406.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6203
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
101696
118.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105423
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
1421
112.7 IPS |
|
|
Object Detection (HP)
|
99% |
15881
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
18189
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
35382
420.4 IPS |
|
|
Face Detection (Q)
|
100% |
47800
568.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5372
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
88550
682.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
108631
849.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17886
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
205003
263.5 IPS |
|
|
Style Transfer (Q)
|
96% |
184191
237.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3749
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37374
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49168
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
4196
5.60 KIPS |
|
|
Text Classification (HP)
|
99% |
6462
8.63 KIPS |
|
|
Text Classification (Q)
|
92% |
6474
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3614
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4303
74.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4484
77.5 IPS |
