iPad13,16
Geekbench ML Score
1004
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 22 2023 01:21 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| Model | iPad13,16 |
| Model ID | iPad13,16 |
| Motherboard | J407AP |
| 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
949
101.7 IPS |
|
|
Image Classification (F16)
|
100% |
930
99.7 IPS |
|
|
Image Classification (I8)
|
81% |
408
43.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1338
8.27 IPS |
|
|
Image Segmentation (F16)
|
100% |
1342
8.29 IPS |
|
|
Image Segmentation (I8)
|
89% |
1527
9.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
666
2.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
664
2.69 IPS |
|
|
Pose Estimation (I8)
|
80% |
799
3.23 IPS |
|
|
Object Detection (F32)
|
100% |
1418
49.8 IPS |
|
|
Object Detection (F16)
|
100% |
1423
50.0 IPS |
|
|
Object Detection (I8)
|
52% |
577
20.3 IPS |
|
|
Face Detection (F32)
|
100% |
1631
18.7 IPS |
|
|
Face Detection (F16)
|
100% |
1628
18.7 IPS |
|
|
Face Detection (I8)
|
75% |
800
9.20 IPS |
|
|
Text Classification (F32)
|
100% |
624
246.7 IPS |
|
|
Text Classification (F16)
|
100% |
615
243.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1808
278.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1804
278.1 IPS |
