iPad14,4
Geekbench ML Score
1324
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 09 2023 02:08 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| 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 | 7.34 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1184
126.9 IPS |
|
|
Image Classification (F16)
|
100% |
1182
126.7 IPS |
|
|
Image Classification (I8)
|
81% |
658
70.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1480
9.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
1482
9.15 IPS |
|
|
Image Segmentation (I8)
|
89% |
1721
10.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
768
3.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
760
3.07 IPS |
|
|
Pose Estimation (I8)
|
80% |
880
3.56 IPS |
|
|
Object Detection (F32)
|
100% |
1827
64.1 IPS |
|
|
Object Detection (F16)
|
100% |
1826
64.1 IPS |
|
|
Object Detection (I8)
|
52% |
1010
35.4 IPS |
|
|
Face Detection (F32)
|
100% |
2145
24.6 IPS |
|
|
Face Detection (F16)
|
100% |
2152
24.7 IPS |
|
|
Face Detection (I8)
|
75% |
1113
12.8 IPS |
|
|
Text Classification (F32)
|
100% |
1037
410.1 IPS |
|
|
Text Classification (F16)
|
100% |
1669
660.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1983
305.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1977
304.6 IPS |
