iPad (9th generation)
Geekbench ML Score
2070
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 01:29 PM |
| 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% |
789
147.6 IPS |
|
|
Image Classification (F16)
|
100% |
1381
258.4 IPS |
|
|
Image Classification (I8)
|
99% |
1380
258.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
453
7.56 IPS |
|
|
Image Segmentation (F16)
|
100% |
567
9.48 IPS |
|
|
Image Segmentation (I8)
|
100% |
568
9.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
3543
4.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
6431
7.79 IPS |
|
|
Pose Estimation (I8)
|
100% |
6427
7.78 IPS |
|
|
Object Detection (F32)
|
100% |
699
52.2 IPS |
|
|
Object Detection (F16)
|
100% |
1377
102.8 IPS |
|
|
Object Detection (I8)
|
97% |
701
52.3 IPS |
|
|
Face Detection (F32)
|
100% |
1628
19.4 IPS |
|
|
Face Detection (F16)
|
97% |
3189
37.9 IPS |
|
|
Face Detection (I8)
|
97% |
3186
37.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3206
24.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
5972
46.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
5984
46.4 IPS |
|
|
Style Transfer (F32)
|
100% |
7823
10.3 IPS |
|
|
Style Transfer (F16)
|
100% |
14214
18.7 IPS |
|
|
Style Transfer (I8)
|
100% |
14220
18.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2165
77.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2907
103.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2861
102.2 IPS |
|
|
Text Classification (F32)
|
100% |
1225
1.76 KIPS |
|
|
Text Classification (F16)
|
100% |
2230
3.21 KIPS |
|
|
Text Classification (I8)
|
96% |
2432
3.50 KIPS |
|
|
Machine Translation (F32)
|
100% |
643
11.8 IPS |
|
|
Machine Translation (F16)
|
100% |
943
17.4 IPS |
|
|
Machine Translation (I8)
|
99% |
640
11.8 IPS |
