iPad16,5
Geekbench ML Score
4655
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | Worldrock |
| Upload Date | June 17 2024 04:33 PM |
| Views | 2 |
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% |
1879
351.6 IPS |
|
|
Image Classification (F16)
|
100% |
2521
471.8 IPS |
|
|
Image Classification (I8)
|
99% |
2529
473.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1188
19.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1166
19.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1160
19.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
9487
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17921
21.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
17940
21.7 IPS |
|
|
Object Detection (F32)
|
100% |
1902
142.0 IPS |
|
|
Object Detection (F16)
|
100% |
2614
195.2 IPS |
|
|
Object Detection (I8)
|
97% |
1903
142.0 IPS |
|
|
Face Detection (F32)
|
100% |
3490
41.5 IPS |
|
|
Face Detection (F16)
|
97% |
5550
66.0 IPS |
|
|
Face Detection (I8)
|
97% |
5526
65.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
7536
58.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
11064
85.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
11084
86.0 IPS |
|
|
Style Transfer (F32)
|
100% |
23436
30.8 IPS |
|
|
Style Transfer (F16)
|
100% |
34559
45.5 IPS |
|
|
Style Transfer (I8)
|
100% |
34553
45.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5854
209.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6822
243.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6837
244.2 IPS |
|
|
Text Classification (F32)
|
100% |
2770
3.98 KIPS |
|
|
Text Classification (F16)
|
100% |
4424
6.36 KIPS |
|
|
Text Classification (I8)
|
96% |
4440
6.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
1612
29.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1852
34.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1603
29.5 IPS |
