iPad Air 13-inch (M2)
Geekbench AI Score
3216
Single Precision Score
4745
Half Precision Score
4065
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 07:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 17.4 |
| Model | iPad Air 13-inch (M2) |
| Model ID | iPad14,10 |
| Motherboard | J537AP |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1527
283.9 IPS |
|
|
Image Classification (HP)
|
100% |
1920
357.1 IPS |
|
|
Image Classification (Q)
|
96% |
1447
270.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1843
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6125
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
14621
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12515
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.4 IPS |
|
|
Object Detection (HP)
|
97% |
2258
179.8 IPS |
|
|
Object Detection (Q)
|
94% |
1735
138.3 IPS |
|
|
Face Detection (SP)
|
100% |
2888
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
4471
53.1 IPS |
|
|
Face Detection (Q)
|
100% |
2876
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5383
41.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
8684
67.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6486
50.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17314
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27136
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22692
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3676
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4704
173.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3605
133.1 IPS |
|
|
Text Classification (SP)
|
100% |
2230
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3119
4.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3075
4.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2738
47.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4551
78.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4538
78.4 IPS |
