iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
1005
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 22 2023 12:21 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.2 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| 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 | 15.34 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% |
919
98.4 IPS |
|
|
Image Classification (I8)
|
81% |
408
43.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1330
8.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
1329
8.21 IPS |
|
|
Image Segmentation (I8)
|
89% |
1556
9.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
666
2.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
668
2.70 IPS |
|
|
Pose Estimation (I8)
|
80% |
799
3.23 IPS |
|
|
Object Detection (F32)
|
100% |
1381
48.5 IPS |
|
|
Object Detection (F16)
|
100% |
1386
48.6 IPS |
|
|
Object Detection (I8)
|
52% |
601
21.1 IPS |
|
|
Face Detection (F32)
|
100% |
1633
18.8 IPS |
|
|
Face Detection (F16)
|
100% |
1640
18.8 IPS |
|
|
Face Detection (I8)
|
75% |
812
9.33 IPS |
|
|
Text Classification (F32)
|
100% |
652
257.8 IPS |
|
|
Text Classification (F16)
|
100% |
610
241.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1810
279.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1813
279.5 IPS |
