iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
1015
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 07 2022 01:34 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| 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 | 7.34 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
923
98.9 IPS |
|
|
Image Classification (F16)
|
100% |
924
99.0 IPS |
|
|
Image Classification (I8)
|
81% |
411
44.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1334
8.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
1334
8.24 IPS |
|
|
Image Segmentation (I8)
|
89% |
1480
9.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
670
2.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
668
2.70 IPS |
|
|
Pose Estimation (I8)
|
80% |
799
3.23 IPS |
|
|
Object Detection (F32)
|
100% |
1433
50.3 IPS |
|
|
Object Detection (F16)
|
100% |
1442
50.6 IPS |
|
|
Object Detection (I8)
|
52% |
641
22.5 IPS |
|
|
Face Detection (F32)
|
100% |
1638
18.8 IPS |
|
|
Face Detection (F16)
|
100% |
1630
18.7 IPS |
|
|
Face Detection (I8)
|
75% |
819
9.41 IPS |
|
|
Text Classification (F32)
|
100% |
599
236.8 IPS |
|
|
Text Classification (F16)
|
100% |
686
271.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1841
283.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1840
283.6 IPS |
