iPad Pro (12.9-inch, 6th generation)
Geekbench ML Score
3477
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 02:40 PM |
| Views | 2 |
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% |
1499
280.5 IPS |
|
|
Image Classification (F16)
|
100% |
1893
354.2 IPS |
|
|
Image Classification (I8)
|
99% |
1882
352.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
806
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
796
13.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
795
13.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5898
7.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
13960
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13999
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1488
111.1 IPS |
|
|
Object Detection (F16)
|
100% |
2006
149.8 IPS |
|
|
Object Detection (I8)
|
97% |
1478
110.4 IPS |
|
|
Face Detection (F32)
|
100% |
2846
33.8 IPS |
|
|
Face Detection (F16)
|
97% |
4375
52.0 IPS |
|
|
Face Detection (I8)
|
97% |
4361
51.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5350
41.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
8657
67.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
8649
67.1 IPS |
|
|
Style Transfer (F32)
|
100% |
16946
22.3 IPS |
|
|
Style Transfer (F16)
|
100% |
26588
35.0 IPS |
|
|
Style Transfer (I8)
|
100% |
26519
34.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3772
134.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4875
174.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5001
178.6 IPS |
|
|
Text Classification (F32)
|
100% |
2112
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3257
4.68 KIPS |
|
|
Text Classification (I8)
|
96% |
2936
4.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
1279
23.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1538
28.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1313
24.2 IPS |
