iPad (8th generation)
Geekbench ML Score
447
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 22 2024 09:53 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| Model | iPad (8th generation) |
| Model ID | iPad11,6 |
| Motherboard | J171aAP |
| 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 | 2.88 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
277
51.8 IPS |
|
|
Image Classification (F16)
|
100% |
241
45.0 IPS |
|
|
Image Classification (I8)
|
99% |
237
44.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
178
2.97 IPS |
|
|
Image Segmentation (F16)
|
100% |
165
2.76 IPS |
|
|
Image Segmentation (I8)
|
100% |
173
2.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
814
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
807
0.98 IPS |
|
|
Pose Estimation (I8)
|
100% |
791
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
295
22.0 IPS |
|
|
Object Detection (F16)
|
100% |
271
20.2 IPS |
|
|
Object Detection (I8)
|
97% |
295
22.0 IPS |
|
|
Face Detection (F32)
|
100% |
613
7.29 IPS |
|
|
Face Detection (F16)
|
100% |
587
6.97 IPS |
|
|
Face Detection (I8)
|
99% |
586
6.96 IPS |
|
|
Depth Estimation (F32)
|
100% |
692
5.37 IPS |
|
|
Depth Estimation (F16)
|
100% |
642
4.98 IPS |
|
|
Depth Estimation (I8)
|
99% |
639
4.96 IPS |
|
|
Style Transfer (F32)
|
100% |
1833
2.41 IPS |
|
|
Style Transfer (F16)
|
100% |
1655
2.18 IPS |
|
|
Style Transfer (I8)
|
100% |
1665
2.19 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
621
22.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
617
22.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
622
22.2 IPS |
|
|
Text Classification (F32)
|
100% |
258
371.3 IPS |
|
|
Text Classification (F16)
|
100% |
302
434.2 IPS |
|
|
Text Classification (I8)
|
96% |
302
434.6 IPS |
|
|
Machine Translation (F32)
|
100% |
302
5.55 IPS |
|
|
Machine Translation (F16)
|
100% |
238
4.38 IPS |
|
|
Machine Translation (I8)
|
99% |
279
5.13 IPS |
