iPad13,17
Geekbench ML Score
913
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | April 30 2022 04:53 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| 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 | 7.45 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
961
103.0 IPS |
|
|
Image Classification (F16)
|
100% |
939
100.6 IPS |
|
|
Image Classification (I8)
|
81% |
180
19.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1363
8.42 IPS |
|
|
Image Segmentation (F16)
|
100% |
1363
8.42 IPS |
|
|
Image Segmentation (I8)
|
89% |
1483
9.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
580
2.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
557
2.25 IPS |
|
|
Pose Estimation (I8)
|
80% |
753
3.05 IPS |
|
|
Object Detection (F32)
|
100% |
1512
53.1 IPS |
|
|
Object Detection (F16)
|
100% |
1515
53.2 IPS |
|
|
Object Detection (I8)
|
52% |
381
13.4 IPS |
|
|
Face Detection (F32)
|
100% |
1761
20.2 IPS |
|
|
Face Detection (F16)
|
100% |
1765
20.3 IPS |
|
|
Face Detection (I8)
|
75% |
670
7.70 IPS |
|
|
Text Classification (F32)
|
100% |
504
199.4 IPS |
|
|
Text Classification (F16)
|
100% |
504
199.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1881
289.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1884
290.3 IPS |
