iPad Air 13-inch (M2)
Geekbench AI Score
3262
Single Precision Score
5892
Half Precision Score
4828
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | alixenos |
| Upload Date | September 20 2025 05:13 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1267
235.7 IPS |
|
|
Image Classification (HP)
|
100% |
2388
444.1 IPS |
|
|
Image Classification (Q)
|
96% |
1674
312.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2199
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2720
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6296
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
15012
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13028
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1396
110.7 IPS |
|
|
Object Detection (HP)
|
97% |
2717
216.3 IPS |
|
|
Object Detection (Q)
|
94% |
1987
158.4 IPS |
|
|
Face Detection (SP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5891
70.0 IPS |
|
|
Face Detection (Q)
|
100% |
3431
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5380
41.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10832
83.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7647
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18031
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28134
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23373
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3730
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5054
186.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3693
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
3855
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3846
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3583
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6741
116.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6713
116.0 IPS |
