iPad Air (4th generation)
Geekbench AI Score
2487
Single Precision Score
11939
Half Precision Score
12008
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 06:03 PM |
| Views | 2 |
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% |
1195
222.2 IPS |
|
|
Image Classification (HP)
|
100% |
3814
709.2 IPS |
|
|
Image Classification (Q)
|
96% |
3876
723.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
756
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7865
127.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8121
131.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4693
5.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
60155
70.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
59565
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
1248
99.0 IPS |
|
|
Object Detection (HP)
|
99% |
5553
441.7 IPS |
|
|
Object Detection (Q)
|
91% |
5933
474.1 IPS |
|
|
Face Detection (SP)
|
100% |
2511
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
11658
138.5 IPS |
|
|
Face Detection (Q)
|
100% |
10287
122.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3661
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
36788
283.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
30724
240.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13363
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
92100
118.4 IPS |
|
|
Style Transfer (Q)
|
96% |
96244
124.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2893
106.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17164
633.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18058
666.8 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2432
3.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2420
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2105
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3564
61.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4218
72.9 IPS |
