iPad Air (3rd generation)
Geekbench AI Score
647
Single Precision Score
779
Half Precision Score
289
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 04:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| Model | iPad Air (3rd generation) |
| Model ID | iPad11,3 |
| Motherboard | J217AP |
| 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% |
220
40.9 IPS |
|
|
Image Classification (HP)
|
100% |
257
47.8 IPS |
|
|
Image Classification (Q)
|
96% |
140
26.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
204
3.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
246
3.98 IPS |
|
|
Image Segmentation (Q)
|
99% |
176
2.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
1643
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2390
2.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
650
0.76 IPS |
|
|
Object Detection (SP)
|
100% |
526
41.7 IPS |
|
|
Object Detection (HP)
|
100% |
545
43.3 IPS |
|
|
Object Detection (Q)
|
92% |
159
12.7 IPS |
|
|
Face Detection (SP)
|
100% |
1861
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
2200
26.1 IPS |
|
|
Face Detection (Q)
|
100% |
263
3.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
1753
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2533
19.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
421
3.29 IPS |
|
|
Style Transfer (SP)
|
100% |
4582
5.89 IPS |
|
|
Style Transfer (HP)
|
100% |
5565
7.15 IPS |
|
|
Style Transfer (Q)
|
96% |
1456
1.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
800
29.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1019
37.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
294
10.9 IPS |
|
|
Text Classification (SP)
|
100% |
150
200.8 IPS |
|
|
Text Classification (HP)
|
100% |
200
267.2 IPS |
|
|
Text Classification (Q)
|
93% |
215
288.8 IPS |
|
|
Machine Translation (SP)
|
100% |
186
3.20 IPS |
|
|
Machine Translation (HP)
|
100% |
160
2.75 IPS |
|
|
Machine Translation (Q)
|
98% |
159
2.75 IPS |
