iPad Air 11-inch (M2)
Geekbench AI Score
7579
Single Precision Score
8123
Half Precision Score
7502
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | dguetzkow |
| Upload Date | April 06 2026 02:21 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3092
575.1 IPS |
|
|
Image Classification (HP)
|
100% |
3059
568.8 IPS |
|
|
Image Classification (Q)
|
94% |
2908
543.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5234
84.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5362
86.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5118
83.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22395
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
24503
28.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
23776
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
3225
255.8 IPS |
|
|
Object Detection (HP)
|
100% |
3190
253.0 IPS |
|
|
Object Detection (Q)
|
91% |
3101
247.8 IPS |
|
|
Face Detection (SP)
|
100% |
9821
116.7 IPS |
|
|
Face Detection (HP)
|
100% |
11142
132.4 IPS |
|
|
Face Detection (Q)
|
100% |
10529
125.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15587
120.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16741
129.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
15759
123.2 IPS |
|
|
Style Transfer (SP)
|
100% |
38488
49.5 IPS |
|
|
Style Transfer (HP)
|
100% |
44449
57.1 IPS |
|
|
Style Transfer (Q)
|
96% |
42949
55.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7996
295.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8512
314.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7453
275.2 IPS |
|
|
Text Classification (SP)
|
100% |
4117
5.50 KIPS |
|
|
Text Classification (HP)
|
99% |
6431
8.58 KIPS |
|
|
Text Classification (Q)
|
92% |
6543
8.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2759
47.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2151
37.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1482
25.6 IPS |
