iPad14,5
Geekbench ML Score
3151
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 26 2022 08:43 AM |
| Views | 8 |
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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7726
827.8 IPS |
|
|
Image Classification (F16)
|
100% |
7655
820.2 IPS |
|
|
Image Classification (I8)
|
81% |
731
78.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2263
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2172
13.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
1339
8.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
28123
113.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
27893
112.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
254
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
8784
308.3 IPS |
|
|
Object Detection (F16)
|
100% |
8748
307.0 IPS |
|
|
Object Detection (I8)
|
52% |
1048
36.8 IPS |
|
|
Face Detection (F32)
|
100% |
9898
113.7 IPS |
|
|
Face Detection (F16)
|
100% |
9829
112.9 IPS |
|
|
Face Detection (I8)
|
75% |
1031
11.8 IPS |
|
|
Text Classification (F32)
|
100% |
1320
522.2 IPS |
|
|
Text Classification (F16)
|
100% |
1327
525.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1919
295.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1928
297.1 IPS |
