iPad13,17
Geekbench ML Score
2855
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 10 2022 11:48 AM |
| Views | 17 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4 |
| 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 | 7.45 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4194
449.4 IPS |
|
|
Image Classification (F16)
|
100% |
5861
627.9 IPS |
|
|
Image Classification (I8)
|
81% |
676
72.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
8032
49.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
11914
73.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
1234
7.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
2857
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
6801
27.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
236
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
3615
126.9 IPS |
|
|
Object Detection (F16)
|
100% |
3979
139.6 IPS |
|
|
Object Detection (I8)
|
52% |
968
34.0 IPS |
|
|
Face Detection (F32)
|
100% |
7001
80.4 IPS |
|
|
Face Detection (F16)
|
97% |
12524
143.9 IPS |
|
|
Face Detection (I8)
|
75% |
949
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
3407
1.35 KIPS |
|
|
Text Classification (F16)
|
100% |
3748
1.48 KIPS |
|
|
Machine Translation (F32)
|
100% |
1848
284.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1845
284.3 IPS |
