iPad13,4
Geekbench ML Score
1011
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 12 2021 07:57 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 | 3.20 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 | 7.24 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
941
100.9 IPS |
|
|
Image Classification (F16)
|
100% |
937
100.4 IPS |
|
|
Image Classification (I8)
|
81% |
403
43.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1241
7.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
1241
7.67 IPS |
|
|
Image Segmentation (I8)
|
89% |
1514
9.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
673
2.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
669
2.71 IPS |
|
|
Pose Estimation (I8)
|
80% |
795
3.22 IPS |
|
|
Object Detection (F32)
|
100% |
1465
51.4 IPS |
|
|
Object Detection (F16)
|
100% |
1473
51.7 IPS |
|
|
Object Detection (I8)
|
52% |
589
20.7 IPS |
|
|
Face Detection (F32)
|
100% |
1635
18.8 IPS |
|
|
Face Detection (F16)
|
100% |
1638
18.8 IPS |
|
|
Face Detection (I8)
|
75% |
792
9.10 IPS |
|
|
Text Classification (F32)
|
100% |
658
260.1 IPS |
|
|
Text Classification (F16)
|
100% |
688
271.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1850
285.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1847
284.7 IPS |
