iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
2007
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 12:55 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5.1 |
| Model | iPad Pro (12.9-inch, 6th generation) |
| Model ID | iPad14,5 |
| Motherboard | J620AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1003
187.7 IPS |
|
|
Image Classification (F16)
|
100% |
963
180.1 IPS |
|
|
Image Classification (I8)
|
99% |
949
177.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
691
11.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
605
10.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
607
10.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5764
6.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
10033
12.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
10049
12.2 IPS |
|
|
Object Detection (F32)
|
100% |
1045
78.0 IPS |
|
|
Object Detection (F16)
|
100% |
1085
81.0 IPS |
|
|
Object Detection (I8)
|
97% |
1091
81.5 IPS |
|
|
Face Detection (F32)
|
100% |
1923
22.9 IPS |
|
|
Face Detection (F16)
|
100% |
1751
20.8 IPS |
|
|
Face Detection (I8)
|
99% |
1754
20.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3556
27.6 IPS |
|
|
Depth Estimation (F16)
|
99% |
3886
30.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
3863
30.0 IPS |
|
|
Style Transfer (F32)
|
100% |
10821
14.2 IPS |
|
|
Style Transfer (F16)
|
100% |
12486
16.4 IPS |
|
|
Style Transfer (I8)
|
100% |
12466
16.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2477
88.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2600
92.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2599
92.8 IPS |
|
|
Text Classification (F32)
|
100% |
916
1.32 KIPS |
|
|
Text Classification (F16)
|
100% |
452
650.3 IPS |
|
|
Text Classification (I8)
|
96% |
587
844.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1378
25.4 IPS |
|
|
Machine Translation (F16)
|
99% |
1772
32.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1357
25.0 IPS |
