iPad Air (3rd generation)
Geekbench AI Score
371
Single Precision Score
575
Half Precision Score
511
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | August 16 2024 12:00 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
183
34.0 IPS |
|
|
Image Classification (HP)
|
100% |
282
52.4 IPS |
|
|
Image Classification (Q)
|
99% |
294
54.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
226
3.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
295
4.78 IPS |
|
|
Image Segmentation (Q)
|
100% |
297
4.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
629
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
687
0.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
592
0.69 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
99% |
356
28.2 IPS |
|
|
Object Detection (Q)
|
92% |
322
25.7 IPS |
|
|
Face Detection (SP)
|
100% |
547
6.50 IPS |
|
|
Face Detection (HP)
|
100% |
855
10.2 IPS |
|
|
Face Detection (Q)
|
100% |
691
8.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
509
3.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
936
7.23 IPS |
|
|
Depth Estimation (Q)
|
97% |
435
3.36 IPS |
|
|
Style Transfer (SP)
|
100% |
1317
1.69 IPS |
|
|
Style Transfer (HP)
|
100% |
2259
2.90 IPS |
|
|
Style Transfer (Q)
|
100% |
2334
3.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
364
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
475
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
438
16.2 IPS |
|
|
Text Classification (SP)
|
100% |
187
249.5 IPS |
|
|
Text Classification (HP)
|
100% |
371
494.5 IPS |
|
|
Text Classification (Q)
|
93% |
385
516.4 IPS |
|
|
Machine Translation (SP)
|
100% |
388
6.68 IPS |
|
|
Machine Translation (HP)
|
98% |
617
10.7 IPS |
|
|
Machine Translation (Q)
|
98% |
617
10.7 IPS |
