iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
1014
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 19 2022 06:39 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.2.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| 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% |
947
101.5 IPS |
|
|
Image Classification (F16)
|
100% |
953
102.1 IPS |
|
|
Image Classification (I8)
|
81% |
389
41.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1341
8.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
1331
8.22 IPS |
|
|
Image Segmentation (I8)
|
89% |
1522
9.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
668
2.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
670
2.71 IPS |
|
|
Pose Estimation (I8)
|
80% |
789
3.19 IPS |
|
|
Object Detection (F32)
|
100% |
1428
50.1 IPS |
|
|
Object Detection (F16)
|
100% |
1436
50.4 IPS |
|
|
Object Detection (I8)
|
52% |
622
21.8 IPS |
|
|
Face Detection (F32)
|
100% |
1622
18.6 IPS |
|
|
Face Detection (F16)
|
100% |
1621
18.6 IPS |
|
|
Face Detection (I8)
|
75% |
815
9.36 IPS |
|
|
Text Classification (F32)
|
100% |
686
271.4 IPS |
|
|
Text Classification (F16)
|
100% |
626
247.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1829
281.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1833
282.5 IPS |
