iPad13,16
Geekbench ML Score
1046
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 16 2023 01:20 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1 |
| 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% |
1035
110.9 IPS |
|
|
Image Classification (F16)
|
100% |
1037
111.2 IPS |
|
|
Image Classification (I8)
|
81% |
400
42.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1366
8.44 IPS |
|
|
Image Segmentation (F16)
|
100% |
1365
8.43 IPS |
|
|
Image Segmentation (I8)
|
89% |
1505
9.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
681
2.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
676
2.73 IPS |
|
|
Pose Estimation (I8)
|
80% |
796
3.22 IPS |
|
|
Object Detection (F32)
|
100% |
1503
52.8 IPS |
|
|
Object Detection (F16)
|
100% |
1528
53.6 IPS |
|
|
Object Detection (I8)
|
52% |
586
20.6 IPS |
|
|
Face Detection (F32)
|
100% |
1756
20.2 IPS |
|
|
Face Detection (F16)
|
100% |
1760
20.2 IPS |
|
|
Face Detection (I8)
|
75% |
802
9.21 IPS |
|
|
Text Classification (F32)
|
100% |
659
260.6 IPS |
|
|
Text Classification (F16)
|
100% |
705
278.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1877
289.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1863
287.1 IPS |
