iPad13,16
Geekbench ML Score
2922
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 10 2023 03:15 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.1 |
| 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% |
6808
729.4 IPS |
|
|
Image Classification (F16)
|
100% |
6804
729.0 IPS |
|
|
Image Classification (I8)
|
81% |
689
73.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2452
15.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2448
15.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1257
7.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
20273
82.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
19961
80.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
241
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
7283
255.6 IPS |
|
|
Object Detection (F16)
|
100% |
7277
255.4 IPS |
|
|
Object Detection (I8)
|
52% |
975
34.2 IPS |
|
|
Face Detection (F32)
|
100% |
8965
103.0 IPS |
|
|
Face Detection (F16)
|
100% |
8988
103.3 IPS |
|
|
Face Detection (I8)
|
75% |
966
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
1473
582.5 IPS |
|
|
Text Classification (F16)
|
100% |
1464
579.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1849
284.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1881
290.0 IPS |
