iPad14,11
Geekbench ML Score
3514
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 21 2024 04:03 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad14,11 |
| Model ID | iPad14,11 |
| Motherboard | J538AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 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 | 7.45 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1500
280.7 IPS |
|
|
Image Classification (F16)
|
100% |
1880
351.9 IPS |
|
|
Image Classification (I8)
|
99% |
1896
354.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
809
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
818
13.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
817
13.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5908
7.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
13978
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14005
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1474
110.0 IPS |
|
|
Object Detection (F16)
|
100% |
2028
151.4 IPS |
|
|
Object Detection (I8)
|
97% |
1481
110.6 IPS |
|
|
Face Detection (F32)
|
100% |
2847
33.9 IPS |
|
|
Face Detection (F16)
|
97% |
4370
52.0 IPS |
|
|
Face Detection (I8)
|
97% |
4366
51.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5327
41.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8619
66.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
8643
67.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17092
22.5 IPS |
|
|
Style Transfer (F16)
|
100% |
26442
34.8 IPS |
|
|
Style Transfer (I8)
|
100% |
26580
35.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3849
137.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5112
182.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5144
183.7 IPS |
|
|
Text Classification (F32)
|
100% |
2097
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3350
4.81 KIPS |
|
|
Text Classification (I8)
|
96% |
3329
4.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
1322
24.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1540
28.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1284
23.6 IPS |
