iPad12,1
Geekbench ML Score
699
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 03:23 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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% |
548
58.7 IPS |
|
|
Image Classification (F16)
|
100% |
539
57.8 IPS |
|
|
Image Classification (I8)
|
81% |
321
34.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
871
5.38 IPS |
|
|
Image Segmentation (F16)
|
100% |
859
5.30 IPS |
|
|
Image Segmentation (I8)
|
89% |
1088
6.72 IPS |
|
|
Pose Estimation (F32)
|
100% |
271
1.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
269
1.09 IPS |
|
|
Pose Estimation (I8)
|
80% |
330
1.33 IPS |
|
|
Object Detection (F32)
|
100% |
775
27.2 IPS |
|
|
Object Detection (F16)
|
100% |
403
14.2 IPS |
|
|
Object Detection (I8)
|
52% |
708
24.9 IPS |
|
|
Face Detection (F32)
|
100% |
745
8.56 IPS |
|
|
Face Detection (F16)
|
100% |
879
10.1 IPS |
|
|
Face Detection (I8)
|
75% |
702
8.07 IPS |
|
|
Text Classification (F32)
|
100% |
2008
794.1 IPS |
|
|
Text Classification (F16)
|
100% |
2011
795.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1206
185.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1209
186.3 IPS |
