iPad13,17
Geekbench ML Score
1006
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | July 09 2022 10:10 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0 |
| 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
911
97.6 IPS |
|
|
Image Classification (F16)
|
100% |
912
97.7 IPS |
|
|
Image Classification (I8)
|
81% |
411
44.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1318
8.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
1317
8.14 IPS |
|
|
Image Segmentation (I8)
|
89% |
1559
9.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
663
2.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
655
2.65 IPS |
|
|
Pose Estimation (I8)
|
80% |
800
3.24 IPS |
|
|
Object Detection (F32)
|
100% |
1439
50.5 IPS |
|
|
Object Detection (F16)
|
100% |
1415
49.7 IPS |
|
|
Object Detection (I8)
|
52% |
634
22.2 IPS |
|
|
Face Detection (F32)
|
100% |
1601
18.4 IPS |
|
|
Face Detection (F16)
|
100% |
1598
18.4 IPS |
|
|
Face Detection (I8)
|
75% |
841
9.67 IPS |
|
|
Text Classification (F32)
|
100% |
618
244.5 IPS |
|
|
Text Classification (F16)
|
100% |
624
247.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1816
279.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1815
279.8 IPS |
