iPad Air (3rd generation)
Geekbench AI Score
514
Single Precision Score
2111
Half Precision Score
760
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | August 21 2024 09:29 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
272
50.6 IPS |
|
|
Image Classification (HP)
|
100% |
2028
377.2 IPS |
|
|
Image Classification (Q)
|
99% |
2060
384.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
252
4.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
389
6.30 IPS |
|
|
Image Segmentation (Q)
|
100% |
392
6.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
1124
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
23879
27.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
884
1.04 IPS |
|
|
Object Detection (SP)
|
100% |
288
22.8 IPS |
|
|
Object Detection (HP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (Q)
|
94% |
204
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
635
7.55 IPS |
|
|
Face Detection (HP)
|
100% |
5293
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
261
3.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
705
5.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
18794
144.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
18646
144.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1962
2.52 IPS |
|
|
Style Transfer (HP)
|
100% |
1928
2.48 IPS |
|
|
Style Transfer (Q)
|
100% |
1910
2.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
556
20.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3488
128.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
494
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
276
369.0 IPS |
|
|
Text Classification (HP)
|
100% |
309
412.2 IPS |
|
|
Text Classification (Q)
|
93% |
302
404.8 IPS |
|
|
Machine Translation (SP)
|
100% |
437
7.52 IPS |
|
|
Machine Translation (HP)
|
100% |
325
5.60 IPS |
|
|
Machine Translation (Q)
|
98% |
322
5.56 IPS |
