iPad Air (3rd generation)
Geekbench ML Score
728
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | August 15 2024 03:17 PM |
| Views | 3 |
System Information
| 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 |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.84 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
320
59.9 IPS |
|
|
Image Classification (F16)
|
100% |
547
102.3 IPS |
|
|
Image Classification (I8)
|
99% |
557
104.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
242
4.05 IPS |
|
|
Image Segmentation (F16)
|
100% |
296
4.94 IPS |
|
|
Image Segmentation (I8)
|
100% |
296
4.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
1105
1.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
704
0.85 IPS |
|
|
Pose Estimation (I8)
|
100% |
907
1.10 IPS |
|
|
Object Detection (F32)
|
100% |
373
27.9 IPS |
|
|
Object Detection (F16)
|
100% |
628
46.9 IPS |
|
|
Object Detection (I8)
|
97% |
362
27.1 IPS |
|
|
Face Detection (F32)
|
100% |
749
8.91 IPS |
|
|
Face Detection (F16)
|
97% |
1468
17.5 IPS |
|
|
Face Detection (I8)
|
96% |
1482
17.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
856
6.64 IPS |
|
|
Depth Estimation (F16)
|
100% |
1688
13.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
1661
12.9 IPS |
|
|
Style Transfer (F32)
|
100% |
2336
3.07 IPS |
|
|
Style Transfer (F16)
|
100% |
4454
5.86 IPS |
|
|
Style Transfer (I8)
|
100% |
4139
5.44 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
744
26.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
980
35.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
974
34.8 IPS |
|
|
Text Classification (F32)
|
100% |
265
380.7 IPS |
|
|
Text Classification (F16)
|
100% |
524
753.1 IPS |
|
|
Text Classification (I8)
|
96% |
524
752.6 IPS |
|
|
Machine Translation (F32)
|
100% |
373
6.86 IPS |
|
|
Machine Translation (F16)
|
100% |
509
9.36 IPS |
|
|
Machine Translation (I8)
|
99% |
372
6.84 IPS |
