iPad16,5
Geekbench ML Score
4651
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 25 2024 11:50 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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.39 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% |
1866
349.2 IPS |
|
|
Image Classification (F16)
|
100% |
2520
471.5 IPS |
|
|
Image Classification (I8)
|
99% |
2512
470.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1177
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1151
19.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1156
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
9507
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17982
21.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
17981
21.8 IPS |
|
|
Object Detection (F32)
|
100% |
1895
141.5 IPS |
|
|
Object Detection (F16)
|
100% |
2589
193.3 IPS |
|
|
Object Detection (I8)
|
97% |
1899
141.8 IPS |
|
|
Face Detection (F32)
|
100% |
3520
41.8 IPS |
|
|
Face Detection (F16)
|
97% |
5554
66.0 IPS |
|
|
Face Detection (I8)
|
97% |
5564
66.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
7515
58.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
11031
85.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
11044
85.6 IPS |
|
|
Style Transfer (F32)
|
100% |
23335
30.7 IPS |
|
|
Style Transfer (F16)
|
100% |
34316
45.1 IPS |
|
|
Style Transfer (I8)
|
100% |
34278
45.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5917
211.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6892
246.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6836
244.2 IPS |
|
|
Text Classification (F32)
|
100% |
2795
4.02 KIPS |
|
|
Text Classification (F16)
|
100% |
4414
6.34 KIPS |
|
|
Text Classification (I8)
|
96% |
4412
6.34 KIPS |
|
|
Machine Translation (F32)
|
100% |
1616
29.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1862
34.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1615
29.7 IPS |
