iPad14,2
Geekbench ML Score
906
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 15 2021 08:50 PM |
| Views | 193 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPad14,2 |
| Model ID | iPad14,2 |
| Motherboard | J311AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.93 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% |
765
82.0 IPS |
|
|
Image Classification (F16)
|
100% |
720
77.2 IPS |
|
|
Image Classification (I8)
|
81% |
474
50.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1017
6.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
985
6.08 IPS |
|
|
Image Segmentation (I8)
|
89% |
1454
8.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
396
1.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
390
1.58 IPS |
|
|
Pose Estimation (I8)
|
80% |
466
1.88 IPS |
|
|
Object Detection (F32)
|
100% |
1008
35.4 IPS |
|
|
Object Detection (F16)
|
100% |
1014
35.6 IPS |
|
|
Object Detection (I8)
|
52% |
765
26.8 IPS |
|
|
Face Detection (F32)
|
100% |
1259
14.5 IPS |
|
|
Face Detection (F16)
|
100% |
1214
14.0 IPS |
|
|
Face Detection (I8)
|
75% |
847
9.73 IPS |
|
|
Text Classification (F32)
|
100% |
1310
518.2 IPS |
|
|
Text Classification (F16)
|
100% |
1253
495.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1852
285.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1856
286.0 IPS |
