iPad14,8
Geekbench ML Score
3485
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 17 2024 05:48 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1504
281.4 IPS |
|
|
Image Classification (F16)
|
100% |
1892
354.0 IPS |
|
|
Image Classification (I8)
|
99% |
1894
354.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
789
13.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
791
13.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
793
13.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5906
7.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
14027
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
13954
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1498
111.9 IPS |
|
|
Object Detection (F16)
|
100% |
2052
153.2 IPS |
|
|
Object Detection (I8)
|
97% |
1504
112.3 IPS |
|
|
Face Detection (F32)
|
100% |
2850
33.9 IPS |
|
|
Face Detection (F16)
|
97% |
4397
52.3 IPS |
|
|
Face Detection (I8)
|
97% |
4397
52.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5367
41.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
8720
67.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
8713
67.6 IPS |
|
|
Style Transfer (F32)
|
100% |
16982
22.3 IPS |
|
|
Style Transfer (F16)
|
100% |
26583
35.0 IPS |
|
|
Style Transfer (I8)
|
100% |
26574
35.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3769
134.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4894
174.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4848
173.2 IPS |
|
|
Text Classification (F32)
|
100% |
2118
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3243
4.66 KIPS |
|
|
Text Classification (I8)
|
96% |
3252
4.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
1256
23.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1541
28.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1250
23.0 IPS |
