iPad14,8
Geekbench ML Score
3892
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 09:43 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad14,8 |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.39 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% |
1358
254.1 IPS |
|
|
Image Classification (F16)
|
100% |
2452
458.9 IPS |
|
|
Image Classification (I8)
|
99% |
2458
460.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
886
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1170
19.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1126
18.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6617
8.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
14139
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14074
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1446
107.9 IPS |
|
|
Object Detection (F16)
|
100% |
2419
180.6 IPS |
|
|
Object Detection (I8)
|
97% |
1439
107.4 IPS |
|
|
Face Detection (F32)
|
100% |
3084
36.7 IPS |
|
|
Face Detection (F16)
|
97% |
5899
70.1 IPS |
|
|
Face Detection (I8)
|
97% |
5901
70.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5659
43.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
11635
90.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
11598
89.9 IPS |
|
|
Style Transfer (F32)
|
100% |
18408
24.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27830
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
27767
36.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4184
149.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4914
175.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4909
175.3 IPS |
|
|
Text Classification (F32)
|
100% |
1998
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
3304
4.75 KIPS |
|
|
Text Classification (I8)
|
96% |
3334
4.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
1373
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1634
30.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1388
25.5 IPS |
