iPad13,10
Geekbench ML Score
1023
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 11 2021 04:11 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPad13,10 |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| 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 | 7.22 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
945
101.2 IPS |
|
|
Image Classification (F16)
|
100% |
932
99.9 IPS |
|
|
Image Classification (I8)
|
81% |
428
45.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1239
7.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
1238
7.65 IPS |
|
|
Image Segmentation (I8)
|
89% |
1505
9.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
671
2.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
669
2.71 IPS |
|
|
Pose Estimation (I8)
|
80% |
795
3.22 IPS |
|
|
Object Detection (F32)
|
100% |
1472
51.7 IPS |
|
|
Object Detection (F16)
|
100% |
1473
51.7 IPS |
|
|
Object Detection (I8)
|
52% |
614
21.6 IPS |
|
|
Face Detection (F32)
|
100% |
1627
18.7 IPS |
|
|
Face Detection (F16)
|
100% |
1632
18.7 IPS |
|
|
Face Detection (I8)
|
75% |
843
9.68 IPS |
|
|
Text Classification (F32)
|
100% |
720
284.8 IPS |
|
|
Text Classification (F16)
|
100% |
658
260.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1867
287.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1882
290.0 IPS |
