iPad13,17
Geekbench ML Score
2667
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 21 2022 01:40 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4 |
| 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% |
6064
649.7 IPS |
|
|
Image Classification (F16)
|
100% |
5933
635.6 IPS |
|
|
Image Classification (I8)
|
81% |
680
72.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2218
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2222
13.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
1224
7.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
20005
80.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
20194
81.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
235
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
7353
258.0 IPS |
|
|
Object Detection (F16)
|
100% |
7284
255.6 IPS |
|
|
Object Detection (I8)
|
52% |
948
33.3 IPS |
|
|
Face Detection (F32)
|
100% |
7882
90.6 IPS |
|
|
Face Detection (F16)
|
100% |
7922
91.0 IPS |
|
|
Face Detection (I8)
|
75% |
940
10.8 IPS |
|
|
Text Classification (F32)
|
100% |
1059
418.8 IPS |
|
|
Text Classification (F16)
|
100% |
964
381.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1714
264.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1706
263.0 IPS |
