iPad Pro (11-inch 3rd generation)
Geekbench ML Score
1006
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 14 2023 01:16 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| 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 | 7.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
941
100.9 IPS |
|
|
Image Classification (F16)
|
100% |
918
98.4 IPS |
|
|
Image Classification (I8)
|
81% |
388
41.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1325
8.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
1330
8.22 IPS |
|
|
Image Segmentation (I8)
|
89% |
1469
9.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
667
2.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
670
2.71 IPS |
|
|
Pose Estimation (I8)
|
80% |
790
3.20 IPS |
|
|
Object Detection (F32)
|
100% |
1405
49.3 IPS |
|
|
Object Detection (F16)
|
100% |
1409
49.4 IPS |
|
|
Object Detection (I8)
|
52% |
599
21.0 IPS |
|
|
Face Detection (F32)
|
100% |
1631
18.7 IPS |
|
|
Face Detection (F16)
|
100% |
1643
18.9 IPS |
|
|
Face Detection (I8)
|
75% |
805
9.24 IPS |
|
|
Text Classification (F32)
|
100% |
612
242.0 IPS |
|
|
Text Classification (F16)
|
100% |
711
281.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1816
279.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1817
280.1 IPS |
