iPad13,17
Geekbench ML Score
942
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 25 2022 04:14 PM |
| Views | 1 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
963
103.2 IPS |
|
|
Image Classification (F16)
|
100% |
966
103.5 IPS |
|
|
Image Classification (I8)
|
81% |
273
29.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1366
8.44 IPS |
|
|
Image Segmentation (F16)
|
100% |
1365
8.43 IPS |
|
|
Image Segmentation (I8)
|
89% |
1485
9.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
605
2.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
578
2.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
746
3.02 IPS |
|
|
Object Detection (F32)
|
100% |
1547
54.3 IPS |
|
|
Object Detection (F16)
|
100% |
1547
54.3 IPS |
|
|
Object Detection (I8)
|
52% |
399
14.0 IPS |
|
|
Face Detection (F32)
|
100% |
1783
20.5 IPS |
|
|
Face Detection (F16)
|
100% |
1759
20.2 IPS |
|
|
Face Detection (I8)
|
75% |
680
7.82 IPS |
|
|
Text Classification (F32)
|
100% |
493
195.0 IPS |
|
|
Text Classification (F16)
|
100% |
501
198.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1881
289.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1886
290.7 IPS |
