iPad16,5
Geekbench ML Score
4689
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 10 2024 08:42 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 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 | 7.20 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1924
360.1 IPS |
|
|
Image Classification (F16)
|
100% |
2562
479.4 IPS |
|
|
Image Classification (I8)
|
99% |
2551
477.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1215
20.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1175
19.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1177
19.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
9538
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
17958
21.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
18009
21.8 IPS |
|
|
Object Detection (F32)
|
100% |
1920
143.3 IPS |
|
|
Object Detection (F16)
|
100% |
2641
197.1 IPS |
|
|
Object Detection (I8)
|
97% |
1934
144.4 IPS |
|
|
Face Detection (F32)
|
100% |
3546
42.2 IPS |
|
|
Face Detection (F16)
|
97% |
5638
67.0 IPS |
|
|
Face Detection (I8)
|
97% |
5619
66.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
7577
58.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
11197
86.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
11245
87.2 IPS |
|
|
Style Transfer (F32)
|
100% |
23495
30.9 IPS |
|
|
Style Transfer (F16)
|
100% |
34598
45.5 IPS |
|
|
Style Transfer (I8)
|
100% |
34680
45.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5849
208.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6806
243.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6787
242.4 IPS |
|
|
Text Classification (F32)
|
100% |
2729
3.92 KIPS |
|
|
Text Classification (F16)
|
100% |
4373
6.29 KIPS |
|
|
Text Classification (I8)
|
96% |
4392
6.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
1637
30.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1876
34.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1620
29.8 IPS |
