iPad14,2
Geekbench ML Score
924
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 21 2021 05:39 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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% |
767
82.2 IPS |
|
|
Image Classification (F16)
|
100% |
745
79.9 IPS |
|
|
Image Classification (I8)
|
81% |
470
50.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1058
6.53 IPS |
|
|
Image Segmentation (F16)
|
100% |
1032
6.38 IPS |
|
|
Image Segmentation (I8)
|
89% |
1438
8.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
417
1.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
409
1.65 IPS |
|
|
Pose Estimation (I8)
|
80% |
481
1.95 IPS |
|
|
Object Detection (F32)
|
100% |
1051
36.9 IPS |
|
|
Object Detection (F16)
|
100% |
1070
37.6 IPS |
|
|
Object Detection (I8)
|
52% |
772
27.1 IPS |
|
|
Face Detection (F32)
|
100% |
1331
15.3 IPS |
|
|
Face Detection (F16)
|
100% |
1302
15.0 IPS |
|
|
Face Detection (I8)
|
75% |
846
9.72 IPS |
|
|
Text Classification (F32)
|
100% |
1160
458.6 IPS |
|
|
Text Classification (F16)
|
100% |
1269
502.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1877
289.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1860
286.7 IPS |
