iPad13,4
Geekbench ML Score
1021
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | May 26 2021 08:00 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPad13,4 |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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 | 7.24 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
957
102.6 IPS |
|
|
Image Classification (F16)
|
100% |
955
102.3 IPS |
|
|
Image Classification (I8)
|
81% |
412
44.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1247
7.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
1238
7.65 IPS |
|
|
Image Segmentation (I8)
|
89% |
1496
9.24 IPS |
|
|
Pose Estimation (F32)
|
100% |
670
2.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
667
2.70 IPS |
|
|
Pose Estimation (I8)
|
80% |
796
3.22 IPS |
|
|
Object Detection (F32)
|
100% |
1474
51.7 IPS |
|
|
Object Detection (F16)
|
100% |
1475
51.8 IPS |
|
|
Object Detection (I8)
|
52% |
624
21.9 IPS |
|
|
Face Detection (F32)
|
100% |
1643
18.9 IPS |
|
|
Face Detection (F16)
|
100% |
1668
19.2 IPS |
|
|
Face Detection (I8)
|
75% |
835
9.59 IPS |
|
|
Text Classification (F32)
|
100% |
652
258.0 IPS |
|
|
Text Classification (F16)
|
100% |
695
275.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1849
285.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1846
284.4 IPS |
