iPad13,17
Geekbench ML Score
2710
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 13 2022 11:53 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| 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 | 7.45 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6086
652.1 IPS |
|
|
Image Classification (F16)
|
100% |
6119
655.7 IPS |
|
|
Image Classification (I8)
|
81% |
688
73.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2248
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2257
13.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1256
7.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
18974
76.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
18933
76.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
7412
260.1 IPS |
|
|
Object Detection (F16)
|
100% |
7363
258.4 IPS |
|
|
Object Detection (I8)
|
52% |
984
34.5 IPS |
|
|
Face Detection (F32)
|
100% |
7904
90.8 IPS |
|
|
Face Detection (F16)
|
100% |
7908
90.9 IPS |
|
|
Face Detection (I8)
|
75% |
966
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
1051
415.6 IPS |
|
|
Text Classification (F16)
|
100% |
1052
415.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1830
282.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1830
282.0 IPS |
