iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
2704
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2022 11:16 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| 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 | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6112
654.8 IPS |
|
|
Image Classification (F16)
|
100% |
6067
650.1 IPS |
|
|
Image Classification (I8)
|
81% |
688
73.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2233
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2231
13.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1256
7.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
19448
78.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
19491
78.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
238
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
7282
255.5 IPS |
|
|
Object Detection (F16)
|
100% |
7275
255.3 IPS |
|
|
Object Detection (I8)
|
52% |
975
34.2 IPS |
|
|
Face Detection (F32)
|
100% |
7862
90.3 IPS |
|
|
Face Detection (F16)
|
100% |
7858
90.3 IPS |
|
|
Face Detection (I8)
|
75% |
966
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
1045
413.3 IPS |
|
|
Text Classification (F16)
|
100% |
1040
411.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1835
282.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1832
282.4 IPS |
