iPad Air (4th generation)
Geekbench AI Score
2701
Single Precision Score
12357
Half Precision Score
12273
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 12:26 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1177
218.9 IPS |
|
|
Image Classification (HP)
|
100% |
4584
852.5 IPS |
|
|
Image Classification (Q)
|
96% |
4739
884.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1038
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7689
124.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7784
126.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5379
6.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
59483
69.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
59544
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
1222
96.9 IPS |
|
|
Object Detection (HP)
|
99% |
5449
433.5 IPS |
|
|
Object Detection (Q)
|
91% |
4813
384.6 IPS |
|
|
Face Detection (SP)
|
100% |
2448
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
11660
138.5 IPS |
|
|
Face Detection (Q)
|
100% |
10331
122.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4916
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35171
271.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
35391
276.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14385
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
94925
122.0 IPS |
|
|
Style Transfer (Q)
|
96% |
97357
125.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3020
111.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19372
715.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19383
715.7 IPS |
|
|
Text Classification (SP)
|
100% |
2230
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2573
3.43 KIPS |
|
|
Text Classification (Q)
|
93% |
2525
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2214
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3747
64.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4213
72.8 IPS |
