iPad13,9
Geekbench ML Score
1015
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 12 2021 07:27 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPad13,9 |
| Model ID | iPad13,9 |
| Motherboard | J522xAP |
| 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 | 15.22 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
940
100.7 IPS |
|
|
Image Classification (F16)
|
100% |
939
100.6 IPS |
|
|
Image Classification (I8)
|
81% |
399
42.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1239
7.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
1242
7.67 IPS |
|
|
Image Segmentation (I8)
|
89% |
1479
9.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
672
2.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
654
2.65 IPS |
|
|
Pose Estimation (I8)
|
80% |
796
3.22 IPS |
|
|
Object Detection (F32)
|
100% |
1441
50.6 IPS |
|
|
Object Detection (F16)
|
100% |
1437
50.4 IPS |
|
|
Object Detection (I8)
|
52% |
626
22.0 IPS |
|
|
Face Detection (F32)
|
100% |
1646
18.9 IPS |
|
|
Face Detection (F16)
|
100% |
1634
18.8 IPS |
|
|
Face Detection (I8)
|
75% |
828
9.52 IPS |
|
|
Text Classification (F32)
|
100% |
695
274.7 IPS |
|
|
Text Classification (F16)
|
100% |
685
270.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1880
289.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1841
283.7 IPS |
