iPad13,16
Geekbench ML Score
1058
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 03 2023 04:28 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.1 |
| Model | iPad13,16 |
| Model ID | iPad13,16 |
| Motherboard | J407AP |
| 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1018
109.1 IPS |
|
|
Image Classification (F16)
|
100% |
981
105.1 IPS |
|
|
Image Classification (I8)
|
81% |
366
39.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1366
8.44 IPS |
|
|
Image Segmentation (F16)
|
100% |
1362
8.41 IPS |
|
|
Image Segmentation (I8)
|
89% |
1568
9.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
670
2.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
652
2.64 IPS |
|
|
Pose Estimation (I8)
|
80% |
799
3.23 IPS |
|
|
Object Detection (F32)
|
100% |
1471
51.6 IPS |
|
|
Object Detection (F16)
|
100% |
1578
55.4 IPS |
|
|
Object Detection (I8)
|
52% |
627
22.0 IPS |
|
|
Face Detection (F32)
|
100% |
1784
20.5 IPS |
|
|
Face Detection (F16)
|
100% |
1774
20.4 IPS |
|
|
Face Detection (I8)
|
75% |
826
9.49 IPS |
|
|
Text Classification (F32)
|
100% |
688
272.2 IPS |
|
|
Text Classification (F16)
|
100% |
874
345.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1854
285.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1850
285.1 IPS |
