iPad14,6
Geekbench ML Score
3476
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 12:32 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% |
1482
277.3 IPS |
|
|
Image Classification (F16)
|
100% |
1899
355.4 IPS |
|
|
Image Classification (I8)
|
99% |
1887
353.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
806
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
812
13.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
817
13.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5924
7.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
13880
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13909
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1466
109.4 IPS |
|
|
Object Detection (F16)
|
100% |
2021
150.9 IPS |
|
|
Object Detection (I8)
|
97% |
1476
110.2 IPS |
|
|
Face Detection (F32)
|
100% |
2848
33.9 IPS |
|
|
Face Detection (F16)
|
97% |
4378
52.1 IPS |
|
|
Face Detection (I8)
|
97% |
4376
52.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5232
40.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
8491
65.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
8622
66.9 IPS |
|
|
Style Transfer (F32)
|
100% |
16709
22.0 IPS |
|
|
Style Transfer (F16)
|
100% |
26637
35.0 IPS |
|
|
Style Transfer (I8)
|
100% |
26305
34.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3790
135.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4943
176.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4878
174.2 IPS |
|
|
Text Classification (F32)
|
100% |
2080
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3233
4.65 KIPS |
|
|
Text Classification (I8)
|
96% |
3232
4.65 KIPS |
|
|
Machine Translation (F32)
|
100% |
1277
23.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1536
28.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1270
23.4 IPS |
