iPad14,6
Geekbench ML Score
3197
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 05 2023 12:51 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.3 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7223
773.9 IPS |
|
|
Image Classification (F16)
|
100% |
7556
809.6 IPS |
|
|
Image Classification (I8)
|
81% |
734
78.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2344
14.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2407
14.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1343
8.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
27454
111.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
27219
110.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
255
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
7459
261.8 IPS |
|
|
Object Detection (F16)
|
100% |
7525
264.1 IPS |
|
|
Object Detection (I8)
|
52% |
1054
37.0 IPS |
|
|
Face Detection (F32)
|
100% |
9914
113.9 IPS |
|
|
Face Detection (F16)
|
100% |
9844
113.1 IPS |
|
|
Face Detection (I8)
|
75% |
1033
11.9 IPS |
|
|
Text Classification (F32)
|
100% |
1690
668.2 IPS |
|
|
Text Classification (F16)
|
100% |
1688
667.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2006
309.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1980
305.2 IPS |
