iPad13,8
Geekbench ML Score
2871
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 24 2021 01:02 AM |
| 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% |
4206
450.6 IPS |
|
|
Image Classification (F16)
|
100% |
6056
648.9 IPS |
|
|
Image Classification (I8)
|
81% |
691
74.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
8151
50.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
11941
73.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1268
7.83 IPS |
|
|
Pose Estimation (F32)
|
100% |
2865
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
6820
27.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
236
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
3953
138.7 IPS |
|
|
Object Detection (F16)
|
100% |
3788
132.9 IPS |
|
|
Object Detection (I8)
|
52% |
982
34.5 IPS |
|
|
Face Detection (F32)
|
100% |
7072
81.2 IPS |
|
|
Face Detection (F16)
|
97% |
11437
131.4 IPS |
|
|
Face Detection (I8)
|
75% |
945
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
3401
1.35 KIPS |
|
|
Text Classification (F16)
|
100% |
3898
1.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
1848
284.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1839
283.4 IPS |
