iPad14,1
Geekbench ML Score
945
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 08:34 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPad14,1 |
| Model ID | iPad14,1 |
| Motherboard | J310AP |
| 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% |
766
82.0 IPS |
|
|
Image Classification (F16)
|
100% |
734
78.6 IPS |
|
|
Image Classification (I8)
|
81% |
473
50.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1052
6.50 IPS |
|
|
Image Segmentation (F16)
|
100% |
1031
6.37 IPS |
|
|
Image Segmentation (I8)
|
89% |
1458
9.01 IPS |
|
|
Pose Estimation (F32)
|
100% |
416
1.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
407
1.65 IPS |
|
|
Pose Estimation (I8)
|
80% |
485
1.96 IPS |
|
|
Object Detection (F32)
|
100% |
1077
37.8 IPS |
|
|
Object Detection (F16)
|
100% |
1078
37.8 IPS |
|
|
Object Detection (I8)
|
52% |
776
27.2 IPS |
|
|
Face Detection (F32)
|
100% |
1324
15.2 IPS |
|
|
Face Detection (F16)
|
100% |
1293
14.9 IPS |
|
|
Face Detection (I8)
|
75% |
846
9.72 IPS |
|
|
Text Classification (F32)
|
100% |
1595
630.7 IPS |
|
|
Text Classification (F16)
|
100% |
1361
538.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1878
289.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1873
288.6 IPS |
