iPad Air 11-inch (M2)
Geekbench AI Score
6566
Single Precision Score
7517
Half Precision Score
6837
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 11:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2979
554.0 IPS |
|
|
Image Classification (HP)
|
100% |
3036
564.6 IPS |
|
|
Image Classification (Q)
|
96% |
2781
519.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5233
84.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5366
87.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5128
83.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22393
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
24467
28.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
23749
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
3150
249.8 IPS |
|
|
Object Detection (HP)
|
100% |
3106
246.4 IPS |
|
|
Object Detection (Q)
|
92% |
2943
234.9 IPS |
|
|
Face Detection (SP)
|
100% |
9395
111.6 IPS |
|
|
Face Detection (HP)
|
100% |
10986
130.5 IPS |
|
|
Face Detection (Q)
|
100% |
9293
110.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15576
120.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16704
128.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
15321
119.7 IPS |
|
|
Style Transfer (SP)
|
100% |
38938
50.1 IPS |
|
|
Style Transfer (HP)
|
100% |
44132
56.7 IPS |
|
|
Style Transfer (Q)
|
96% |
42847
55.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8027
296.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8539
315.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7410
273.6 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3842
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3824
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1286
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1752
30.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1296
22.4 IPS |
