iPad13,8
Geekbench ML Score
2889
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 07:57 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPad13,8 |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4115
440.9 IPS |
|
|
Image Classification (F16)
|
100% |
6027
645.8 IPS |
|
|
Image Classification (I8)
|
81% |
692
74.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
8184
50.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
11831
73.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1270
7.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
2878
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
6857
27.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
3938
138.2 IPS |
|
|
Object Detection (F16)
|
100% |
3708
130.1 IPS |
|
|
Object Detection (I8)
|
52% |
984
34.5 IPS |
|
|
Face Detection (F32)
|
100% |
7112
81.7 IPS |
|
|
Face Detection (F16)
|
97% |
12712
146.1 IPS |
|
|
Face Detection (I8)
|
75% |
966
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
3431
1.36 KIPS |
|
|
Text Classification (F16)
|
100% |
3897
1.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
1835
282.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1846
284.6 IPS |
