iPad14,5
Geekbench ML Score
1247
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 10 2023 09:06 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5 |
| Model | iPad14,5 |
| Model ID | iPad14,5 |
| Motherboard | J620AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 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 | 15.33 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1086
116.4 IPS |
|
|
Image Classification (F16)
|
100% |
1066
114.2 IPS |
|
|
Image Classification (I8)
|
81% |
732
78.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1433
8.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
1429
8.83 IPS |
|
|
Image Segmentation (I8)
|
89% |
1825
11.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
748
3.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
752
3.04 IPS |
|
|
Pose Estimation (I8)
|
80% |
903
3.65 IPS |
|
|
Object Detection (F32)
|
100% |
1685
59.1 IPS |
|
|
Object Detection (F16)
|
100% |
1687
59.2 IPS |
|
|
Object Detection (I8)
|
52% |
1068
37.5 IPS |
|
|
Face Detection (F32)
|
100% |
1957
22.5 IPS |
|
|
Face Detection (F16)
|
100% |
1955
22.5 IPS |
|
|
Face Detection (I8)
|
75% |
1198
13.8 IPS |
|
|
Text Classification (F32)
|
100% |
917
362.6 IPS |
|
|
Text Classification (F16)
|
100% |
901
356.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1893
291.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1898
292.5 IPS |
