iPad14,4
Geekbench ML Score
1309
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 09 2023 02:06 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% |
1193
127.8 IPS |
|
|
Image Classification (F16)
|
100% |
1185
126.9 IPS |
|
|
Image Classification (I8)
|
81% |
647
69.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1469
9.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
1466
9.06 IPS |
|
|
Image Segmentation (I8)
|
89% |
1686
10.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
765
3.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
768
3.11 IPS |
|
|
Pose Estimation (I8)
|
80% |
864
3.50 IPS |
|
|
Object Detection (F32)
|
100% |
1824
64.0 IPS |
|
|
Object Detection (F16)
|
100% |
1843
64.7 IPS |
|
|
Object Detection (I8)
|
52% |
1418
49.8 IPS |
|
|
Face Detection (F32)
|
100% |
2172
24.9 IPS |
|
|
Face Detection (F16)
|
100% |
2160
24.8 IPS |
|
|
Face Detection (I8)
|
75% |
1096
12.6 IPS |
|
|
Text Classification (F32)
|
100% |
958
379.0 IPS |
|
|
Text Classification (F16)
|
100% |
1075
425.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1968
303.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2005
309.0 IPS |
