iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
1012
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 15 2022 06:13 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| 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 | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
936
100.3 IPS |
|
|
Image Classification (F16)
|
100% |
940
100.7 IPS |
|
|
Image Classification (I8)
|
81% |
398
42.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1334
8.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
1327
8.20 IPS |
|
|
Image Segmentation (I8)
|
89% |
1493
9.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
671
2.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
671
2.71 IPS |
|
|
Pose Estimation (I8)
|
80% |
802
3.25 IPS |
|
|
Object Detection (F32)
|
100% |
1458
51.2 IPS |
|
|
Object Detection (F16)
|
100% |
1457
51.1 IPS |
|
|
Object Detection (I8)
|
52% |
600
21.1 IPS |
|
|
Face Detection (F32)
|
100% |
1626
18.7 IPS |
|
|
Face Detection (F16)
|
100% |
1634
18.8 IPS |
|
|
Face Detection (I8)
|
75% |
807
9.27 IPS |
|
|
Text Classification (F32)
|
100% |
665
263.1 IPS |
|
|
Text Classification (F16)
|
100% |
609
241.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1846
284.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1845
284.4 IPS |
