iPad Air 13-inch (M2)
Geekbench AI Score
6654
Single Precision Score
7222
Half Precision Score
6728
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 11:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2899
539.0 IPS |
|
|
Image Classification (HP)
|
100% |
2991
556.3 IPS |
|
|
Image Classification (Q)
|
96% |
2711
506.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5237
84.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5374
87.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5154
83.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22215
25.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
24362
28.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
23707
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
2760
218.9 IPS |
|
|
Object Detection (HP)
|
100% |
3074
243.8 IPS |
|
|
Object Detection (Q)
|
92% |
2577
205.7 IPS |
|
|
Face Detection (SP)
|
100% |
8938
106.2 IPS |
|
|
Face Detection (HP)
|
100% |
10592
125.9 IPS |
|
|
Face Detection (Q)
|
100% |
9120
108.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14876
114.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15889
122.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
15264
119.2 IPS |
|
|
Style Transfer (SP)
|
100% |
38379
49.3 IPS |
|
|
Style Transfer (HP)
|
100% |
44164
56.8 IPS |
|
|
Style Transfer (Q)
|
96% |
42942
55.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8057
297.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8509
314.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7458
275.4 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3871
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3863
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1944
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1311
22.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1293
22.3 IPS |
