iPad13,11
Geekbench ML Score
2661
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | May 26 2021 08:17 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPad13,11 |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| 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 | 15.22 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5695
610.2 IPS |
|
|
Image Classification (F16)
|
100% |
6013
644.2 IPS |
|
|
Image Classification (I8)
|
81% |
694
74.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1975
12.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1974
12.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1270
7.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
19828
80.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
19228
77.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
241
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
7240
254.1 IPS |
|
|
Object Detection (F16)
|
100% |
7076
248.3 IPS |
|
|
Object Detection (I8)
|
52% |
986
34.6 IPS |
|
|
Face Detection (F32)
|
100% |
7465
85.8 IPS |
|
|
Face Detection (F16)
|
100% |
7500
86.2 IPS |
|
|
Face Detection (I8)
|
75% |
961
11.0 IPS |
|
|
Text Classification (F32)
|
100% |
1101
435.4 IPS |
|
|
Text Classification (F16)
|
100% |
1060
419.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1861
286.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1866
287.6 IPS |
