iPad13,10
Geekbench ML Score
2597
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | May 26 2021 08:23 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPad13,10 |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| 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 | 7.22 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5614
601.5 IPS |
|
|
Image Classification (F16)
|
100% |
5613
601.4 IPS |
|
|
Image Classification (I8)
|
81% |
686
73.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1957
12.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1937
12.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
1247
7.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
20035
81.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
19457
78.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
236
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
6795
238.5 IPS |
|
|
Object Detection (F16)
|
100% |
6971
244.7 IPS |
|
|
Object Detection (I8)
|
52% |
967
33.9 IPS |
|
|
Face Detection (F32)
|
100% |
7316
84.1 IPS |
|
|
Face Detection (F16)
|
100% |
7272
83.5 IPS |
|
|
Face Detection (I8)
|
75% |
949
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
1013
400.8 IPS |
|
|
Text Classification (F16)
|
100% |
998
394.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1849
284.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1847
284.7 IPS |
