iPad13,18
Geekbench ML Score
862
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 15 2023 10:30 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| Model | iPad13,18 |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 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 | 3.73 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
646
69.2 IPS |
|
|
Image Classification (F16)
|
100% |
610
65.3 IPS |
|
|
Image Classification (I8)
|
81% |
414
44.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
970
5.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
943
5.82 IPS |
|
|
Image Segmentation (I8)
|
89% |
1398
8.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
362
1.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
352
1.43 IPS |
|
|
Pose Estimation (I8)
|
80% |
442
1.79 IPS |
|
|
Object Detection (F32)
|
100% |
911
32.0 IPS |
|
|
Object Detection (F16)
|
100% |
929
32.6 IPS |
|
|
Object Detection (I8)
|
52% |
711
25.0 IPS |
|
|
Face Detection (F32)
|
100% |
1084
12.5 IPS |
|
|
Face Detection (F16)
|
100% |
1042
12.0 IPS |
|
|
Face Detection (I8)
|
75% |
851
9.78 IPS |
|
|
Text Classification (F32)
|
100% |
1844
729.5 IPS |
|
|
Text Classification (F16)
|
100% |
1806
714.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1640
252.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1637
252.3 IPS |
