iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
2780
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | davidblue |
| Upload Date | January 24 2023 08:22 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3 |
| 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% |
6784
726.9 IPS |
|
|
Image Classification (F16)
|
100% |
6810
729.7 IPS |
|
|
Image Classification (I8)
|
81% |
688
73.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2120
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2114
13.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1255
7.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
19771
80.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
19905
80.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
7134
250.4 IPS |
|
|
Object Detection (F16)
|
100% |
7127
250.1 IPS |
|
|
Object Detection (I8)
|
52% |
972
34.1 IPS |
|
|
Face Detection (F32)
|
100% |
8564
98.4 IPS |
|
|
Face Detection (F16)
|
100% |
8529
98.0 IPS |
|
|
Face Detection (I8)
|
75% |
965
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
1200
474.7 IPS |
|
|
Text Classification (F16)
|
100% |
1190
470.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1802
277.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1815
279.8 IPS |
