iPad (9th generation)
Geekbench ML Score
1857
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 19 2024 03:57 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% |
743
139.0 IPS |
|
|
Image Classification (F16)
|
100% |
1134
212.2 IPS |
|
|
Image Classification (I8)
|
99% |
1132
211.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
405
6.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
426
7.11 IPS |
|
|
Image Segmentation (I8)
|
100% |
426
7.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
3554
4.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
6513
7.89 IPS |
|
|
Pose Estimation (I8)
|
100% |
6517
7.89 IPS |
|
|
Object Detection (F32)
|
100% |
663
49.5 IPS |
|
|
Object Detection (F16)
|
100% |
1158
86.4 IPS |
|
|
Object Detection (I8)
|
97% |
663
49.5 IPS |
|
|
Face Detection (F32)
|
100% |
1367
16.3 IPS |
|
|
Face Detection (F16)
|
97% |
2589
30.8 IPS |
|
|
Face Detection (I8)
|
97% |
2603
30.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2998
23.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
4888
37.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
4886
37.9 IPS |
|
|
Style Transfer (F32)
|
100% |
7531
9.91 IPS |
|
|
Style Transfer (F16)
|
100% |
13353
17.6 IPS |
|
|
Style Transfer (I8)
|
100% |
13385
17.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2161
77.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2726
97.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2706
96.6 IPS |
|
|
Text Classification (F32)
|
100% |
1310
1.88 KIPS |
|
|
Text Classification (F16)
|
100% |
1857
2.67 KIPS |
|
|
Text Classification (I8)
|
96% |
1839
2.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
618
11.4 IPS |
|
|
Machine Translation (F16)
|
100% |
885
16.3 IPS |
|
|
Machine Translation (I8)
|
99% |
625
11.5 IPS |
