iPad13,4
Geekbench ML Score
2590
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 12 2021 07:40 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.5 |
| Model | iPad13,4 |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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 | 7.24 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5504
589.7 IPS |
|
|
Image Classification (F16)
|
100% |
5477
586.8 IPS |
|
|
Image Classification (I8)
|
81% |
692
74.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1960
12.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1954
12.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1253
7.74 IPS |
|
|
Pose Estimation (F32)
|
100% |
19235
77.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
19159
77.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
238
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
7008
245.9 IPS |
|
|
Object Detection (F16)
|
100% |
6985
245.1 IPS |
|
|
Object Detection (I8)
|
52% |
983
34.5 IPS |
|
|
Face Detection (F32)
|
100% |
7327
84.2 IPS |
|
|
Face Detection (F16)
|
100% |
7289
83.7 IPS |
|
|
Face Detection (I8)
|
75% |
955
11.0 IPS |
|
|
Text Classification (F32)
|
100% |
1019
402.9 IPS |
|
|
Text Classification (F16)
|
100% |
1011
400.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1792
276.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1801
277.6 IPS |
