iPad (9th generation)
Geekbench ML Score
1817
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 27 2024 06:41 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad (9th generation) |
| Model ID | iPad12,1 |
| Motherboard | J181AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.87 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
729
136.4 IPS |
|
|
Image Classification (F16)
|
100% |
1112
208.0 IPS |
|
|
Image Classification (I8)
|
99% |
1118
209.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
404
6.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
426
7.12 IPS |
|
|
Image Segmentation (I8)
|
100% |
419
6.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
3344
4.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
6365
7.71 IPS |
|
|
Pose Estimation (I8)
|
100% |
6485
7.85 IPS |
|
|
Object Detection (F32)
|
100% |
671
50.1 IPS |
|
|
Object Detection (F16)
|
100% |
1203
89.8 IPS |
|
|
Object Detection (I8)
|
97% |
637
47.6 IPS |
|
|
Face Detection (F32)
|
100% |
1273
15.1 IPS |
|
|
Face Detection (F16)
|
97% |
2346
27.9 IPS |
|
|
Face Detection (I8)
|
97% |
2406
28.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2906
22.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
4767
37.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
4783
37.1 IPS |
|
|
Style Transfer (F32)
|
100% |
7232
9.51 IPS |
|
|
Style Transfer (F16)
|
100% |
13167
17.3 IPS |
|
|
Style Transfer (I8)
|
100% |
13256
17.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2085
74.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2704
96.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2806
100.2 IPS |
|
|
Text Classification (F32)
|
100% |
1315
1.89 KIPS |
|
|
Text Classification (F16)
|
100% |
1881
2.70 KIPS |
|
|
Text Classification (I8)
|
96% |
1866
2.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
608
11.2 IPS |
|
|
Machine Translation (F16)
|
100% |
833
15.3 IPS |
|
|
Machine Translation (I8)
|
99% |
591
10.9 IPS |
