iPad Air (4th generation)
Geekbench AI Score
2546
Single Precision Score
11823
Half Precision Score
11858
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Luk30002as |
| Upload Date | October 25 2025 05:00 PM |
| Views | 4 |
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% |
1133
210.6 IPS |
|
|
Image Classification (HP)
|
100% |
4846
901.2 IPS |
|
|
Image Classification (Q)
|
96% |
5078
948.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
964
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7621
123.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7965
129.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5214
6.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
43351
50.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
40082
47.0 IPS |
|
|
Object Detection (SP)
|
100% |
995
78.9 IPS |
|
|
Object Detection (HP)
|
99% |
4314
343.2 IPS |
|
|
Object Detection (Q)
|
91% |
4092
327.0 IPS |
|
|
Face Detection (SP)
|
100% |
2007
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
12357
146.8 IPS |
|
|
Face Detection (Q)
|
100% |
10751
127.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4776
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
37199
286.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
36970
288.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13849
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
97354
125.1 IPS |
|
|
Style Transfer (Q)
|
96% |
97171
125.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2958
109.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19594
723.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20219
746.6 IPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
2489
3.32 KIPS |
|
|
Text Classification (Q)
|
93% |
2443
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2223
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3543
61.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4345
75.1 IPS |
