iPad16,5
Geekbench ML Score
4698
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 20 2024 10:44 PM |
| Views | 1 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 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 | 15.05 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1907
356.8 IPS |
|
|
Image Classification (F16)
|
100% |
2528
473.1 IPS |
|
|
Image Classification (I8)
|
99% |
2522
471.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1198
20.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1174
19.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1171
19.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
9496
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17992
21.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
17967
21.8 IPS |
|
|
Object Detection (F32)
|
100% |
1926
143.8 IPS |
|
|
Object Detection (F16)
|
100% |
2652
198.0 IPS |
|
|
Object Detection (I8)
|
97% |
1929
144.0 IPS |
|
|
Face Detection (F32)
|
100% |
3504
41.7 IPS |
|
|
Face Detection (F16)
|
97% |
5616
66.8 IPS |
|
|
Face Detection (I8)
|
97% |
5574
66.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
7536
58.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
11176
86.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11148
86.4 IPS |
|
|
Style Transfer (F32)
|
100% |
23469
30.9 IPS |
|
|
Style Transfer (F16)
|
100% |
35158
46.2 IPS |
|
|
Style Transfer (I8)
|
100% |
35138
46.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5873
209.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6856
244.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6899
246.4 IPS |
|
|
Text Classification (F32)
|
100% |
2868
4.12 KIPS |
|
|
Text Classification (F16)
|
100% |
4547
6.53 KIPS |
|
|
Text Classification (I8)
|
96% |
4516
6.49 KIPS |
|
|
Machine Translation (F32)
|
100% |
1625
29.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1867
34.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1610
29.6 IPS |
