iPad13,17
Geekbench ML Score
2715
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | April 17 2022 08:23 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% |
6056
648.9 IPS |
|
|
Image Classification (F16)
|
100% |
6127
656.4 IPS |
|
|
Image Classification (I8)
|
81% |
688
73.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2249
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2242
13.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1256
7.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
18997
76.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
20010
81.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
7304
256.3 IPS |
|
|
Object Detection (F16)
|
100% |
7279
255.4 IPS |
|
|
Object Detection (I8)
|
52% |
983
34.5 IPS |
|
|
Face Detection (F32)
|
100% |
7891
90.7 IPS |
|
|
Face Detection (F16)
|
100% |
7862
90.3 IPS |
|
|
Face Detection (I8)
|
75% |
962
11.0 IPS |
|
|
Text Classification (F32)
|
100% |
1076
425.4 IPS |
|
|
Text Classification (F16)
|
100% |
1069
422.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1820
280.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1823
281.0 IPS |
