iPad Air (4th generation)
Geekbench AI Score
2696
Single Precision Score
13755
Half Precision Score
13618
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 16 2026 02:30 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1176
218.7 IPS |
|
|
Image Classification (HP)
|
100% |
5050
939.2 IPS |
|
|
Image Classification (Q)
|
96% |
5063
945.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1018
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8348
135.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8849
143.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5438
6.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
66041
77.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
63188
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
1292
102.5 IPS |
|
|
Object Detection (HP)
|
99% |
6470
514.7 IPS |
|
|
Object Detection (Q)
|
91% |
5743
458.9 IPS |
|
|
Face Detection (SP)
|
100% |
2409
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
14618
173.7 IPS |
|
|
Face Detection (Q)
|
100% |
12279
145.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4866
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
40585
312.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
43179
337.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13994
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
102092
131.2 IPS |
|
|
Style Transfer (Q)
|
96% |
97862
126.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3028
111.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19319
713.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19964
737.2 IPS |
|
|
Text Classification (SP)
|
100% |
2128
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2439
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2493
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2285
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4717
81.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5228
90.4 IPS |
