iPad14,5
Geekbench ML Score
3091
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 09 2023 02:12 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| Model | iPad14,5 |
| Model ID | iPad14,5 |
| Motherboard | J620AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7501
803.7 IPS |
|
|
Image Classification (F16)
|
100% |
7480
801.5 IPS |
|
|
Image Classification (I8)
|
81% |
734
78.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2297
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2336
14.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
1342
8.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
27347
110.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
27190
110.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
255
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
7597
266.6 IPS |
|
|
Object Detection (F16)
|
100% |
7332
257.3 IPS |
|
|
Object Detection (I8)
|
52% |
1053
37.0 IPS |
|
|
Face Detection (F32)
|
100% |
9790
112.5 IPS |
|
|
Face Detection (F16)
|
100% |
9470
108.8 IPS |
|
|
Face Detection (I8)
|
75% |
1026
11.8 IPS |
|
|
Text Classification (F32)
|
100% |
1319
521.6 IPS |
|
|
Text Classification (F16)
|
100% |
1326
524.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1935
298.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1942
299.2 IPS |
