iPad Air (4th generation)
Geekbench AI Score
2646
Single Precision Score
12310
Half Precision Score
12087
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 12:38 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Air (4th generation) |
| Model ID | iPad13,1 |
| Motherboard | J307AP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1180
219.5 IPS |
|
|
Image Classification (HP)
|
100% |
4599
855.2 IPS |
|
|
Image Classification (Q)
|
96% |
4646
867.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1025
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7711
125.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7781
126.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4893
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
59266
69.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
59336
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
1237
98.2 IPS |
|
|
Object Detection (HP)
|
99% |
6046
480.9 IPS |
|
|
Object Detection (Q)
|
91% |
5506
440.0 IPS |
|
|
Face Detection (SP)
|
100% |
2470
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
11611
138.0 IPS |
|
|
Face Detection (Q)
|
100% |
10193
121.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4816
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
37214
286.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
35322
276.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13509
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
92860
119.4 IPS |
|
|
Style Transfer (Q)
|
96% |
90653
117.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2788
103.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20233
747.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17770
656.1 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (Q)
|
93% |
2348
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2224
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3325
57.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4139
71.5 IPS |
