iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
2849
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | davidblue |
| Upload Date | November 16 2022 09:18 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.2 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,9 |
| Motherboard | J522xAP |
| 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 | 15.34 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6926
742.1 IPS |
|
|
Image Classification (F16)
|
100% |
7002
750.2 IPS |
|
|
Image Classification (I8)
|
81% |
676
72.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2086
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2089
12.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1231
7.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
20249
81.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
20408
82.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
236
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
8247
289.4 IPS |
|
|
Object Detection (F16)
|
100% |
8299
291.2 IPS |
|
|
Object Detection (I8)
|
52% |
967
34.0 IPS |
|
|
Face Detection (F32)
|
100% |
8759
100.6 IPS |
|
|
Face Detection (F16)
|
100% |
8726
100.2 IPS |
|
|
Face Detection (I8)
|
75% |
949
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
1255
496.3 IPS |
|
|
Text Classification (F16)
|
100% |
1216
480.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1866
287.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1862
287.0 IPS |
