iPad13,8
Geekbench ML Score
2701
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 03:23 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| 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 | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3940
422.1 IPS |
|
|
Image Classification (F16)
|
100% |
5660
606.5 IPS |
|
|
Image Classification (I8)
|
81% |
680
72.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
7971
49.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
11198
69.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1246
7.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
2852
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
6740
27.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
236
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
3586
125.8 IPS |
|
|
Object Detection (F16)
|
100% |
3602
126.4 IPS |
|
|
Object Detection (I8)
|
52% |
965
33.9 IPS |
|
|
Face Detection (F32)
|
100% |
6948
79.8 IPS |
|
|
Face Detection (F16)
|
97% |
12041
138.3 IPS |
|
|
Face Detection (I8)
|
75% |
948
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
2464
974.5 IPS |
|
|
Text Classification (F16)
|
100% |
2535
1.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1834
282.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1825
281.3 IPS |
