iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
3485
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 19 2024 07:02 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1492
279.2 IPS |
|
|
Image Classification (F16)
|
100% |
1882
352.2 IPS |
|
|
Image Classification (I8)
|
99% |
1878
351.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
806
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
804
13.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
803
13.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5890
7.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
13948
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14007
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1476
110.2 IPS |
|
|
Object Detection (F16)
|
100% |
2014
150.4 IPS |
|
|
Object Detection (I8)
|
97% |
1475
110.1 IPS |
|
|
Face Detection (F32)
|
100% |
2843
33.8 IPS |
|
|
Face Detection (F16)
|
97% |
4349
51.7 IPS |
|
|
Face Detection (I8)
|
97% |
4341
51.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5337
41.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8621
66.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
8604
66.7 IPS |
|
|
Style Transfer (F32)
|
100% |
16961
22.3 IPS |
|
|
Style Transfer (F16)
|
100% |
26437
34.8 IPS |
|
|
Style Transfer (I8)
|
100% |
26412
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3747
133.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4987
178.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4982
177.9 IPS |
|
|
Text Classification (F32)
|
100% |
2050
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3291
4.73 KIPS |
|
|
Text Classification (I8)
|
96% |
3295
4.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
1290
23.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1537
28.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1292
23.8 IPS |
