iPad13,16
Geekbench ML Score
2966
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 14 2023 01:43 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| 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% |
6912
740.6 IPS |
|
|
Image Classification (F16)
|
100% |
6958
745.5 IPS |
|
|
Image Classification (I8)
|
81% |
686
73.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2432
15.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2433
15.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
1237
7.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
19669
79.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
19662
79.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
238
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
8197
287.7 IPS |
|
|
Object Detection (F16)
|
100% |
8171
286.7 IPS |
|
|
Object Detection (I8)
|
52% |
985
34.6 IPS |
|
|
Face Detection (F32)
|
100% |
9093
104.5 IPS |
|
|
Face Detection (F16)
|
100% |
9086
104.4 IPS |
|
|
Face Detection (I8)
|
75% |
955
11.0 IPS |
|
|
Text Classification (F32)
|
100% |
1498
592.6 IPS |
|
|
Text Classification (F16)
|
100% |
1499
593.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1893
291.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1905
293.6 IPS |
