iPad (9th generation) iPad12,1
Geekbench ML Score
719
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | November 17 2022 02:12 AM |
| Views | 15 |
| Notes | iPad (9th generation)/64GB |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.1 |
| Model | iPad12,1 |
| Model ID | iPad12,1 |
| Motherboard | J181AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.87 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
544
58.3 IPS |
|
|
Image Classification (F16)
|
100% |
530
56.8 IPS |
|
|
Image Classification (I8)
|
81% |
316
33.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
839
5.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
812
5.01 IPS |
|
|
Image Segmentation (I8)
|
89% |
1088
6.72 IPS |
|
|
Pose Estimation (F32)
|
100% |
268
1.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
263
1.06 IPS |
|
|
Pose Estimation (I8)
|
80% |
327
1.32 IPS |
|
|
Object Detection (F32)
|
100% |
784
27.5 IPS |
|
|
Object Detection (F16)
|
100% |
789
27.7 IPS |
|
|
Object Detection (I8)
|
52% |
616
21.6 IPS |
|
|
Face Detection (F32)
|
100% |
1003
11.5 IPS |
|
|
Face Detection (F16)
|
100% |
983
11.3 IPS |
|
|
Face Detection (I8)
|
75% |
715
8.22 IPS |
|
|
Text Classification (F32)
|
100% |
1808
715.0 IPS |
|
|
Text Classification (F16)
|
100% |
1795
710.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1172
180.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1214
187.1 IPS |
