iPad14,6
Geekbench ML Score
3454
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 12:34 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| 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 | 7.31 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% |
1906
356.7 IPS |
|
|
Image Classification (I8)
|
99% |
1886
353.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
801
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
801
13.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
794
13.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5881
7.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
13782
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13862
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1472
109.9 IPS |
|
|
Object Detection (F16)
|
100% |
2016
150.5 IPS |
|
|
Object Detection (I8)
|
97% |
1482
110.6 IPS |
|
|
Face Detection (F32)
|
100% |
2851
33.9 IPS |
|
|
Face Detection (F16)
|
97% |
4364
51.9 IPS |
|
|
Face Detection (I8)
|
97% |
4357
51.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5359
41.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
8605
66.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
8607
66.7 IPS |
|
|
Style Transfer (F32)
|
100% |
16987
22.3 IPS |
|
|
Style Transfer (F16)
|
100% |
26521
34.9 IPS |
|
|
Style Transfer (I8)
|
100% |
26531
34.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3738
133.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5007
178.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4857
173.5 IPS |
|
|
Text Classification (F32)
|
100% |
2086
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
2940
4.23 KIPS |
|
|
Text Classification (I8)
|
96% |
2936
4.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
1274
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1539
28.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1267
23.3 IPS |
