iPad14,6
Geekbench ML Score
3489
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 04 2024 08:25 PM |
| Views | 16 |
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 | 3.49 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 | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1492
279.3 IPS |
|
|
Image Classification (F16)
|
100% |
1899
355.3 IPS |
|
|
Image Classification (I8)
|
99% |
1886
352.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
811
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
797
13.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
800
13.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5897
7.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
14006
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14005
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1476
110.2 IPS |
|
|
Object Detection (F16)
|
100% |
2016
150.5 IPS |
|
|
Object Detection (I8)
|
97% |
1469
109.7 IPS |
|
|
Face Detection (F32)
|
100% |
2828
33.6 IPS |
|
|
Face Detection (F16)
|
97% |
4375
52.0 IPS |
|
|
Face Detection (I8)
|
97% |
4388
52.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5333
41.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8634
67.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
8645
67.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17047
22.4 IPS |
|
|
Style Transfer (F16)
|
100% |
26629
35.0 IPS |
|
|
Style Transfer (I8)
|
100% |
26629
35.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3777
134.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4983
178.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5000
178.6 IPS |
|
|
Text Classification (F32)
|
100% |
2101
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3278
4.71 KIPS |
|
|
Text Classification (I8)
|
96% |
3282
4.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
1274
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1541
28.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1264
23.3 IPS |
