iPad14,4
Geekbench ML Score
3447
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | Reghir |
| Upload Date | May 08 2024 11:07 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| 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 | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1496
280.0 IPS |
|
|
Image Classification (F16)
|
100% |
1902
355.9 IPS |
|
|
Image Classification (I8)
|
99% |
1891
353.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
795
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
785
13.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
783
13.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5912
7.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
14008
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14054
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1464
109.3 IPS |
|
|
Object Detection (F16)
|
100% |
1999
149.2 IPS |
|
|
Object Detection (I8)
|
97% |
1459
108.9 IPS |
|
|
Face Detection (F32)
|
100% |
2834
33.7 IPS |
|
|
Face Detection (F16)
|
97% |
4354
51.8 IPS |
|
|
Face Detection (I8)
|
97% |
4343
51.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5348
41.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
8591
66.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
8568
66.4 IPS |
|
|
Style Transfer (F32)
|
100% |
16956
22.3 IPS |
|
|
Style Transfer (F16)
|
100% |
26492
34.8 IPS |
|
|
Style Transfer (I8)
|
100% |
26423
34.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3815
136.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4892
174.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4870
173.9 IPS |
|
|
Text Classification (F32)
|
100% |
2084
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
2949
4.24 KIPS |
|
|
Text Classification (I8)
|
96% |
2955
4.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
1269
23.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1542
28.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1259
23.2 IPS |
