iPad14,3
Geekbench ML Score
1233
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 01 2023 10:57 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| Model | iPad14,3 |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 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 | 7.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1067
114.4 IPS |
|
|
Image Classification (F16)
|
100% |
1069
114.5 IPS |
|
|
Image Classification (I8)
|
81% |
747
80.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1432
8.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
1430
8.83 IPS |
|
|
Image Segmentation (I8)
|
89% |
1725
10.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
754
3.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
741
3.00 IPS |
|
|
Pose Estimation (I8)
|
80% |
873
3.53 IPS |
|
|
Object Detection (F32)
|
100% |
1688
59.2 IPS |
|
|
Object Detection (F16)
|
100% |
1673
58.7 IPS |
|
|
Object Detection (I8)
|
52% |
1076
37.8 IPS |
|
|
Face Detection (F32)
|
100% |
1918
22.0 IPS |
|
|
Face Detection (F16)
|
100% |
1909
21.9 IPS |
|
|
Face Detection (I8)
|
75% |
1207
13.9 IPS |
|
|
Text Classification (F32)
|
100% |
862
340.8 IPS |
|
|
Text Classification (F16)
|
100% |
870
343.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1912
294.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1915
295.1 IPS |
