iPad13,16
Geekbench ML Score
1026
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 26 2022 11:52 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.7 |
| Model | iPad13,16 |
| Model ID | iPad13,16 |
| Motherboard | J407AP |
| 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 | 7.45 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
937
100.4 IPS |
|
|
Image Classification (F16)
|
100% |
932
99.8 IPS |
|
|
Image Classification (I8)
|
81% |
390
41.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1331
8.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
1331
8.22 IPS |
|
|
Image Segmentation (I8)
|
89% |
1557
9.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
668
2.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
664
2.69 IPS |
|
|
Pose Estimation (I8)
|
80% |
802
3.25 IPS |
|
|
Object Detection (F32)
|
100% |
1464
51.4 IPS |
|
|
Object Detection (F16)
|
100% |
1466
51.4 IPS |
|
|
Object Detection (I8)
|
52% |
585
20.5 IPS |
|
|
Face Detection (F32)
|
100% |
1653
19.0 IPS |
|
|
Face Detection (F16)
|
100% |
1659
19.1 IPS |
|
|
Face Detection (I8)
|
75% |
791
9.08 IPS |
|
|
Text Classification (F32)
|
100% |
805
318.3 IPS |
|
|
Text Classification (F16)
|
100% |
666
263.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1839
283.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1833
282.6 IPS |
