iPad Pro (11-inch 3rd generation)
Geekbench ML Score
1003
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 15 2022 06:48 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
938
100.5 IPS |
|
|
Image Classification (F16)
|
100% |
934
100.0 IPS |
|
|
Image Classification (I8)
|
81% |
412
44.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1336
8.25 IPS |
|
|
Image Segmentation (F16)
|
100% |
1333
8.23 IPS |
|
|
Image Segmentation (I8)
|
89% |
1521
9.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
673
2.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
665
2.69 IPS |
|
|
Pose Estimation (I8)
|
80% |
796
3.22 IPS |
|
|
Object Detection (F32)
|
100% |
1432
50.3 IPS |
|
|
Object Detection (F16)
|
100% |
1429
50.1 IPS |
|
|
Object Detection (I8)
|
52% |
607
21.3 IPS |
|
|
Face Detection (F32)
|
100% |
1630
18.7 IPS |
|
|
Face Detection (F16)
|
100% |
1630
18.7 IPS |
|
|
Face Detection (I8)
|
75% |
804
9.24 IPS |
|
|
Text Classification (F32)
|
100% |
574
226.9 IPS |
|
|
Text Classification (F16)
|
100% |
603
238.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1830
282.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1837
283.2 IPS |
