iPad13,17
Geekbench ML Score
941
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 10 2022 11:47 AM |
| Views | 34 |
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% |
967
103.6 IPS |
|
|
Image Classification (F16)
|
100% |
967
103.6 IPS |
|
|
Image Classification (I8)
|
81% |
229
24.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1365
8.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
1365
8.43 IPS |
|
|
Image Segmentation (I8)
|
89% |
1481
9.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
648
2.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
630
2.55 IPS |
|
|
Pose Estimation (I8)
|
80% |
770
3.11 IPS |
|
|
Object Detection (F32)
|
100% |
1542
54.1 IPS |
|
|
Object Detection (F16)
|
100% |
1541
54.1 IPS |
|
|
Object Detection (I8)
|
52% |
392
13.8 IPS |
|
|
Face Detection (F32)
|
100% |
1747
20.1 IPS |
|
|
Face Detection (F16)
|
100% |
1746
20.1 IPS |
|
|
Face Detection (I8)
|
75% |
680
7.81 IPS |
|
|
Text Classification (F32)
|
100% |
506
200.0 IPS |
|
|
Text Classification (F16)
|
100% |
507
200.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1864
287.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1857
286.1 IPS |
