iPad Air 13-inch (M2)
Geekbench AI Score
3292
Single Precision Score
26531
Half Precision Score
28904
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 03:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1287
239.3 IPS |
|
|
Image Classification (HP)
|
100% |
14833
2.76 KIPS |
|
|
Image Classification (Q)
|
96% |
15211
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19586
317.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24138
391.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6278
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
105930
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105164
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1419
112.6 IPS |
|
|
Object Detection (HP)
|
99% |
15533
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17071
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3058
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
33822
401.9 IPS |
|
|
Face Detection (Q)
|
100% |
42956
510.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5428
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
87628
675.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
102660
802.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18039
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203862
262.1 IPS |
|
|
Style Transfer (Q)
|
96% |
189355
244.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3706
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36794
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43891
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3872
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3843
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3567
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4201
72.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4384
75.8 IPS |
