iPad14,5
Geekbench ML Score
1198
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 26 2022 08:38 AM |
| Views | 13 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0 |
| Model | iPad14,5 |
| Model ID | iPad14,5 |
| Motherboard | J620AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1077
115.4 IPS |
|
|
Image Classification (F16)
|
100% |
1082
116.0 IPS |
|
|
Image Classification (I8)
|
81% |
589
63.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1446
8.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
1447
8.94 IPS |
|
|
Image Segmentation (I8)
|
89% |
1681
10.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
735
2.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
743
3.01 IPS |
|
|
Pose Estimation (I8)
|
80% |
871
3.52 IPS |
|
|
Object Detection (F32)
|
100% |
1716
60.2 IPS |
|
|
Object Detection (F16)
|
100% |
1700
59.7 IPS |
|
|
Object Detection (I8)
|
52% |
954
33.5 IPS |
|
|
Face Detection (F32)
|
100% |
2011
23.1 IPS |
|
|
Face Detection (F16)
|
100% |
2017
23.2 IPS |
|
|
Face Detection (I8)
|
75% |
1078
12.4 IPS |
|
|
Text Classification (F32)
|
100% |
801
317.0 IPS |
|
|
Text Classification (F16)
|
100% |
776
307.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1892
291.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1893
291.8 IPS |
