iPad13,16
Geekbench ML Score
1042
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 03 2023 05:09 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| Model | iPad13,16 |
| Model ID | iPad13,16 |
| Motherboard | J407AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1023
109.6 IPS |
|
|
Image Classification (F16)
|
100% |
1023
109.7 IPS |
|
|
Image Classification (I8)
|
81% |
377
40.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1368
8.45 IPS |
|
|
Image Segmentation (F16)
|
100% |
1369
8.45 IPS |
|
|
Image Segmentation (I8)
|
89% |
1559
9.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
679
2.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
666
2.69 IPS |
|
|
Pose Estimation (I8)
|
80% |
798
3.23 IPS |
|
|
Object Detection (F32)
|
100% |
1523
53.5 IPS |
|
|
Object Detection (F16)
|
100% |
1536
53.9 IPS |
|
|
Object Detection (I8)
|
52% |
562
19.7 IPS |
|
|
Face Detection (F32)
|
100% |
1775
20.4 IPS |
|
|
Face Detection (F16)
|
100% |
1891
21.7 IPS |
|
|
Face Detection (I8)
|
75% |
794
9.12 IPS |
|
|
Text Classification (F32)
|
100% |
672
265.9 IPS |
|
|
Text Classification (F16)
|
100% |
662
262.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1833
282.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1873
288.7 IPS |
