iPad13,17
Geekbench ML Score
1012
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 24 2022 09:02 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.20 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 | 7.45 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
952
102.0 IPS |
|
|
Image Classification (F16)
|
100% |
957
102.6 IPS |
|
|
Image Classification (I8)
|
81% |
395
42.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1323
8.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
1341
8.28 IPS |
|
|
Image Segmentation (I8)
|
89% |
1490
9.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
670
2.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
652
2.64 IPS |
|
|
Pose Estimation (I8)
|
80% |
792
3.21 IPS |
|
|
Object Detection (F32)
|
100% |
1455
51.1 IPS |
|
|
Object Detection (F16)
|
100% |
1462
51.3 IPS |
|
|
Object Detection (I8)
|
52% |
545
19.1 IPS |
|
|
Face Detection (F32)
|
100% |
1630
18.7 IPS |
|
|
Face Detection (F16)
|
100% |
1624
18.7 IPS |
|
|
Face Detection (I8)
|
75% |
809
9.29 IPS |
|
|
Text Classification (F32)
|
100% |
671
265.5 IPS |
|
|
Text Classification (F16)
|
100% |
675
267.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1839
283.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1852
285.4 IPS |
