iPad14,4
Geekbench ML Score
1294
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | grouchyfluff |
| Upload Date | August 09 2023 02:13 AM |
| Views | 2 |
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% |
1181
126.6 IPS |
|
|
Image Classification (F16)
|
100% |
1180
126.5 IPS |
|
|
Image Classification (I8)
|
81% |
677
72.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1479
9.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
1477
9.12 IPS |
|
|
Image Segmentation (I8)
|
89% |
1703
10.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
766
3.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
765
3.09 IPS |
|
|
Pose Estimation (I8)
|
80% |
867
3.51 IPS |
|
|
Object Detection (F32)
|
100% |
1806
63.4 IPS |
|
|
Object Detection (F16)
|
100% |
1825
64.0 IPS |
|
|
Object Detection (I8)
|
52% |
1003
35.2 IPS |
|
|
Face Detection (F32)
|
100% |
2161
24.8 IPS |
|
|
Face Detection (F16)
|
100% |
2162
24.8 IPS |
|
|
Face Detection (I8)
|
75% |
1105
12.7 IPS |
|
|
Text Classification (F32)
|
100% |
1088
430.3 IPS |
|
|
Text Classification (F16)
|
100% |
1051
415.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1969
303.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1972
303.9 IPS |
