iPad Air 13-inch (M2)
Geekbench AI Score
3302
Single Precision Score
5995
Half Precision Score
4857
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 03:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1291
240.0 IPS |
|
|
Image Classification (HP)
|
100% |
2460
457.5 IPS |
|
|
Image Classification (Q)
|
96% |
1712
319.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2730
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6275
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
15169
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12833
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1424
113.0 IPS |
|
|
Object Detection (HP)
|
97% |
2798
222.7 IPS |
|
|
Object Detection (Q)
|
94% |
2027
161.6 IPS |
|
|
Face Detection (SP)
|
100% |
3076
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
5953
70.7 IPS |
|
|
Face Detection (Q)
|
100% |
3450
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5454
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10935
84.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7741
60.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18019
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28162
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23349
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3722
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4958
183.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3677
135.8 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3854
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3876
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3594
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6972
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6767
116.9 IPS |
