iPad Pro (11-inch 3rd generation)
Geekbench ML Score
2712
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 15 2022 12:33 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6319
677.1 IPS |
|
|
Image Classification (F16)
|
100% |
6376
683.1 IPS |
|
|
Image Classification (I8)
|
81% |
685
73.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2227
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2226
13.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
1233
7.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
19410
78.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
19800
80.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
236
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
7315
256.7 IPS |
|
|
Object Detection (F16)
|
100% |
7328
257.2 IPS |
|
|
Object Detection (I8)
|
52% |
968
34.0 IPS |
|
|
Face Detection (F32)
|
100% |
7812
89.7 IPS |
|
|
Face Detection (F16)
|
100% |
7852
90.2 IPS |
|
|
Face Detection (I8)
|
75% |
947
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
1045
413.2 IPS |
|
|
Text Classification (F16)
|
100% |
1045
413.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1841
283.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1844
284.2 IPS |
