iPad13,16
Geekbench ML Score
2807
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 10 2023 08:49 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5 |
| Model | iPad13,16 |
| Model ID | iPad13,16 |
| Motherboard | J407AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.20 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6770
725.4 IPS |
|
|
Image Classification (F16)
|
100% |
6769
725.3 IPS |
|
|
Image Classification (I8)
|
81% |
689
73.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2095
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2070
12.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1234
7.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
19444
78.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
19120
77.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
236
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
8026
281.7 IPS |
|
|
Object Detection (F16)
|
100% |
7923
278.0 IPS |
|
|
Object Detection (I8)
|
52% |
979
34.3 IPS |
|
|
Face Detection (F32)
|
100% |
8633
99.2 IPS |
|
|
Face Detection (F16)
|
100% |
8596
98.8 IPS |
|
|
Face Detection (I8)
|
75% |
951
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
1234
487.9 IPS |
|
|
Text Classification (F16)
|
100% |
1212
479.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1840
283.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1839
283.4 IPS |
