iPad Air (3rd generation)
Geekbench AI Score
680
Single Precision Score
802
Half Precision Score
292
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 25 2025 10:53 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Air (3rd generation) |
| Model ID | iPad11,4 |
| Motherboard | J218AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
240
44.6 IPS |
|
|
Image Classification (HP)
|
100% |
286
53.3 IPS |
|
|
Image Classification (Q)
|
96% |
138
25.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
223
3.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
248
4.02 IPS |
|
|
Image Segmentation (Q)
|
99% |
180
2.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
1647
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2411
2.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
675
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
522
41.4 IPS |
|
|
Object Detection (HP)
|
100% |
525
41.7 IPS |
|
|
Object Detection (Q)
|
92% |
158
12.7 IPS |
|
|
Face Detection (SP)
|
100% |
1946
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
2295
27.3 IPS |
|
|
Face Detection (Q)
|
100% |
264
3.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
1786
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2545
19.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
422
3.29 IPS |
|
|
Style Transfer (SP)
|
100% |
4645
5.97 IPS |
|
|
Style Transfer (HP)
|
100% |
5706
7.33 IPS |
|
|
Style Transfer (Q)
|
96% |
1494
1.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
809
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1050
38.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
296
10.9 IPS |
|
|
Text Classification (SP)
|
100% |
152
203.2 IPS |
|
|
Text Classification (HP)
|
100% |
197
262.9 IPS |
|
|
Text Classification (Q)
|
93% |
198
266.1 IPS |
|
|
Machine Translation (SP)
|
100% |
233
4.02 IPS |
|
|
Machine Translation (HP)
|
100% |
179
3.08 IPS |
|
|
Machine Translation (Q)
|
98% |
180
3.11 IPS |
