iPad14,1
Geekbench ML Score
919
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 03:05 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| Model | iPad14,1 |
| Model ID | iPad14,1 |
| Motherboard | J310AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.94 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 | 3.78 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
752
80.5 IPS |
|
|
Image Classification (F16)
|
100% |
720
77.2 IPS |
|
|
Image Classification (I8)
|
81% |
474
50.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1032
6.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
985
6.08 IPS |
|
|
Image Segmentation (I8)
|
89% |
1449
8.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
390
1.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
390
1.58 IPS |
|
|
Pose Estimation (I8)
|
80% |
472
1.91 IPS |
|
|
Object Detection (F32)
|
100% |
1004
35.2 IPS |
|
|
Object Detection (F16)
|
100% |
1014
35.6 IPS |
|
|
Object Detection (I8)
|
52% |
773
27.1 IPS |
|
|
Face Detection (F32)
|
100% |
1275
14.7 IPS |
|
|
Face Detection (F16)
|
100% |
1228
14.1 IPS |
|
|
Face Detection (I8)
|
75% |
850
9.77 IPS |
|
|
Text Classification (F32)
|
100% |
1492
590.2 IPS |
|
|
Text Classification (F16)
|
100% |
1362
538.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1863
287.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1869
288.1 IPS |
