iPad14,2
Geekbench ML Score
926
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | March 24 2025 10:58 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad14,2 |
| Model ID | iPad14,2 |
| Motherboard | J311AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.94 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 | 3.77 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
766
82.1 IPS |
|
|
Image Classification (F16)
|
100% |
742
79.6 IPS |
|
|
Image Classification (I8)
|
81% |
459
49.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1070
6.61 IPS |
|
|
Image Segmentation (F16)
|
100% |
1043
6.45 IPS |
|
|
Image Segmentation (I8)
|
89% |
1435
8.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
406
1.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
398
1.61 IPS |
|
|
Pose Estimation (I8)
|
80% |
471
1.91 IPS |
|
|
Object Detection (F32)
|
100% |
1098
38.5 IPS |
|
|
Object Detection (F16)
|
100% |
1102
38.7 IPS |
|
|
Object Detection (I8)
|
52% |
750
26.3 IPS |
|
|
Face Detection (F32)
|
100% |
1297
14.9 IPS |
|
|
Face Detection (F16)
|
100% |
1270
14.6 IPS |
|
|
Face Detection (I8)
|
75% |
849
9.76 IPS |
|
|
Text Classification (F32)
|
100% |
1348
533.0 IPS |
|
|
Text Classification (F16)
|
100% |
1210
478.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1891
291.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1889
291.1 IPS |
