iPad13,17
Geekbench ML Score
2710
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | July 23 2022 09:07 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.6 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.20 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6096
653.1 IPS |
|
|
Image Classification (F16)
|
100% |
6081
651.5 IPS |
|
|
Image Classification (I8)
|
81% |
688
73.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2248
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2219
13.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
1240
7.66 IPS |
|
|
Pose Estimation (F32)
|
100% |
19175
77.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
19588
79.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
7270
255.1 IPS |
|
|
Object Detection (F16)
|
100% |
7324
257.0 IPS |
|
|
Object Detection (I8)
|
52% |
987
34.7 IPS |
|
|
Face Detection (F32)
|
100% |
7872
90.4 IPS |
|
|
Face Detection (F16)
|
100% |
8031
92.3 IPS |
|
|
Face Detection (I8)
|
75% |
963
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
1048
414.4 IPS |
|
|
Text Classification (F16)
|
100% |
1045
413.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1843
284.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1842
283.9 IPS |
