iPad13,17
Geekbench ML Score
2716
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 23 2022 10:39 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 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% |
6099
653.5 IPS |
|
|
Image Classification (F16)
|
100% |
6125
656.3 IPS |
|
|
Image Classification (I8)
|
81% |
688
73.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2248
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2239
13.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1256
7.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
19277
78.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
19699
79.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
7353
258.0 IPS |
|
|
Object Detection (F16)
|
100% |
7342
257.7 IPS |
|
|
Object Detection (I8)
|
52% |
986
34.6 IPS |
|
|
Face Detection (F32)
|
100% |
7921
91.0 IPS |
|
|
Face Detection (F16)
|
100% |
7892
90.7 IPS |
|
|
Face Detection (I8)
|
75% |
966
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
1051
415.8 IPS |
|
|
Text Classification (F16)
|
100% |
1057
418.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1826
281.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1821
280.6 IPS |
