iPad14,6
Geekbench ML Score
3447
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 11 2024 06:13 PM |
| Views | 20 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | 15.31 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1470
275.1 IPS |
|
|
Image Classification (F16)
|
100% |
1851
346.3 IPS |
|
|
Image Classification (I8)
|
99% |
1848
345.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
786
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
773
12.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
777
13.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5887
7.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
13986
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14012
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1461
109.0 IPS |
|
|
Object Detection (F16)
|
100% |
1982
148.0 IPS |
|
|
Object Detection (I8)
|
97% |
1454
108.6 IPS |
|
|
Face Detection (F32)
|
100% |
2834
33.7 IPS |
|
|
Face Detection (F16)
|
97% |
4346
51.7 IPS |
|
|
Face Detection (I8)
|
97% |
4346
51.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5318
41.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8574
66.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
8572
66.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16979
22.3 IPS |
|
|
Style Transfer (F16)
|
100% |
26439
34.8 IPS |
|
|
Style Transfer (I8)
|
100% |
26270
34.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3754
134.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4925
175.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4881
174.3 IPS |
|
|
Text Classification (F32)
|
100% |
2035
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
3235
4.65 KIPS |
|
|
Text Classification (I8)
|
96% |
3245
4.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
1263
23.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1537
28.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1256
23.1 IPS |
