iPad Pro 12.9-inch (4th generation)
Geekbench ML Score
1047
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 03:07 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPad Pro 12.9-inch (4th generation) |
| Model ID | iPad8,11 |
| Motherboard | J420AP |
| CPU Information | |
|---|---|
| Name | Apple A12Z Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
463
86.6 IPS |
|
|
Image Classification (F16)
|
100% |
672
125.8 IPS |
|
|
Image Classification (I8)
|
99% |
674
126.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
296
4.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
356
5.94 IPS |
|
|
Image Segmentation (I8)
|
100% |
353
5.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
2509
3.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
2276
2.76 IPS |
|
|
Pose Estimation (I8)
|
100% |
2292
2.78 IPS |
|
|
Object Detection (F32)
|
100% |
503
37.5 IPS |
|
|
Object Detection (F16)
|
100% |
781
58.3 IPS |
|
|
Object Detection (I8)
|
97% |
504
37.6 IPS |
|
|
Face Detection (F32)
|
100% |
1083
12.9 IPS |
|
|
Face Detection (F16)
|
97% |
1840
21.9 IPS |
|
|
Face Detection (I8)
|
96% |
1841
21.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1341
10.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2397
18.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
2409
18.7 IPS |
|
|
Style Transfer (F32)
|
100% |
4825
6.35 IPS |
|
|
Style Transfer (F16)
|
100% |
7578
9.97 IPS |
|
|
Style Transfer (I8)
|
100% |
7577
9.97 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1237
44.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1551
55.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1535
54.8 IPS |
|
|
Text Classification (F32)
|
100% |
268
385.6 IPS |
|
|
Text Classification (F16)
|
100% |
517
742.8 IPS |
|
|
Text Classification (I8)
|
96% |
516
741.6 IPS |
|
|
Machine Translation (F32)
|
100% |
449
8.26 IPS |
|
|
Machine Translation (F16)
|
100% |
598
11.0 IPS |
|
|
Machine Translation (I8)
|
99% |
450
8.28 IPS |
