iPad Air (4th generation)
Geekbench AI Score
2702
Single Precision Score
12297
Half Precision Score
12083
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | decryp7 |
| Upload Date | September 27 2025 02:25 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1220
226.9 IPS |
|
|
Image Classification (HP)
|
100% |
4446
826.9 IPS |
|
|
Image Classification (Q)
|
96% |
4780
892.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1117
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8138
131.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8051
130.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4955
5.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
59755
69.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
59318
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
1244
98.7 IPS |
|
|
Object Detection (HP)
|
99% |
5990
476.5 IPS |
|
|
Object Detection (Q)
|
91% |
5451
435.6 IPS |
|
|
Face Detection (SP)
|
100% |
2550
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
11732
139.4 IPS |
|
|
Face Detection (Q)
|
100% |
10772
128.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4819
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35857
276.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
35201
275.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13703
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
94661
121.7 IPS |
|
|
Style Transfer (Q)
|
96% |
93025
120.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2824
104.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18313
676.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18065
667.1 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (Q)
|
93% |
2342
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2259
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3594
61.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3574
61.8 IPS |
