iPad (9th generation)
Geekbench ML Score
2020
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 09:05 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
788
147.5 IPS |
|
|
Image Classification (F16)
|
100% |
1370
256.3 IPS |
|
|
Image Classification (I8)
|
99% |
1368
256.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
437
7.30 IPS |
|
|
Image Segmentation (F16)
|
100% |
551
9.20 IPS |
|
|
Image Segmentation (I8)
|
100% |
545
9.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
3547
4.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
6406
7.76 IPS |
|
|
Pose Estimation (I8)
|
100% |
6419
7.77 IPS |
|
|
Object Detection (F32)
|
100% |
698
52.1 IPS |
|
|
Object Detection (F16)
|
100% |
1363
101.7 IPS |
|
|
Object Detection (I8)
|
97% |
699
52.2 IPS |
|
|
Face Detection (F32)
|
100% |
1597
19.0 IPS |
|
|
Face Detection (F16)
|
97% |
3119
37.1 IPS |
|
|
Face Detection (I8)
|
97% |
3122
37.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
3134
24.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5977
46.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
5982
46.4 IPS |
|
|
Style Transfer (F32)
|
100% |
7707
10.1 IPS |
|
|
Style Transfer (F16)
|
100% |
13752
18.1 IPS |
|
|
Style Transfer (I8)
|
100% |
13936
18.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2167
77.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2756
98.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2739
97.8 IPS |
|
|
Text Classification (F32)
|
100% |
1210
1.74 KIPS |
|
|
Text Classification (F16)
|
100% |
2020
2.90 KIPS |
|
|
Text Classification (I8)
|
96% |
2014
2.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
638
11.7 IPS |
|
|
Machine Translation (F16)
|
100% |
918
16.9 IPS |
|
|
Machine Translation (I8)
|
99% |
637
11.7 IPS |
