iPad14,8
Geekbench ML Score
3444
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 25 2024 09:38 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad14,8 |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1478
276.6 IPS |
|
|
Image Classification (F16)
|
100% |
1853
346.7 IPS |
|
|
Image Classification (I8)
|
99% |
1863
348.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
806
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
786
13.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
776
13.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5930
7.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
13863
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13802
16.7 IPS |
|
|
Object Detection (F32)
|
100% |
1472
109.9 IPS |
|
|
Object Detection (F16)
|
100% |
1985
148.2 IPS |
|
|
Object Detection (I8)
|
97% |
1455
108.7 IPS |
|
|
Face Detection (F32)
|
100% |
2840
33.8 IPS |
|
|
Face Detection (F16)
|
97% |
4363
51.9 IPS |
|
|
Face Detection (I8)
|
97% |
4347
51.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5350
41.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
8571
66.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
8576
66.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17009
22.4 IPS |
|
|
Style Transfer (F16)
|
100% |
26401
34.7 IPS |
|
|
Style Transfer (I8)
|
100% |
26328
34.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3800
135.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4874
174.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4898
174.9 IPS |
|
|
Text Classification (F32)
|
100% |
2041
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
3267
4.70 KIPS |
|
|
Text Classification (I8)
|
96% |
2851
4.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
1285
23.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1539
28.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1259
23.2 IPS |
