iPad13,18
Geekbench ML Score
2537
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 25 2023 10:36 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3 |
| Model | iPad13,18 |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 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 | 3.74 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5917
634.0 IPS |
|
|
Image Classification (F16)
|
100% |
5821
623.7 IPS |
|
|
Image Classification (I8)
|
81% |
643
68.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1833
11.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1806
11.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1173
7.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
17594
71.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
18166
73.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
224
0.91 IPS |
|
|
Object Detection (F32)
|
100% |
7243
254.2 IPS |
|
|
Object Detection (F16)
|
100% |
6939
243.5 IPS |
|
|
Object Detection (I8)
|
52% |
923
32.4 IPS |
|
|
Face Detection (F32)
|
100% |
7418
85.2 IPS |
|
|
Face Detection (F16)
|
100% |
7436
85.4 IPS |
|
|
Face Detection (I8)
|
75% |
899
10.3 IPS |
|
|
Text Classification (F32)
|
100% |
1091
431.6 IPS |
|
|
Text Classification (F16)
|
100% |
1104
436.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1679
258.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1687
259.9 IPS |
