iPad Air 13-inch (M2)
Geekbench AI Score
3296
Single Precision Score
26459
Half Precision Score
29403
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 11:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1292
240.2 IPS |
|
|
Image Classification (HP)
|
100% |
15056
2.80 KIPS |
|
|
Image Classification (Q)
|
96% |
15617
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19824
321.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24188
392.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6321
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
103090
120.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105108
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1417
112.4 IPS |
|
|
Object Detection (HP)
|
99% |
15506
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
16484
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
3034
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
34111
405.3 IPS |
|
|
Face Detection (Q)
|
100% |
43558
517.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5320
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
84922
654.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
106841
834.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18097
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
202088
259.8 IPS |
|
|
Style Transfer (Q)
|
96% |
196008
252.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3725
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36750
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47594
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3870
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3845
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3624
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4235
73.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4421
76.4 IPS |
