iPad Pro 12.9-inch (4th generation)
Geekbench ML Score
1330
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 10:06 PM |
| Views | 3 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1119
209.5 IPS |
|
|
Image Classification (F16)
|
100% |
1277
239.0 IPS |
|
|
Image Classification (I8)
|
99% |
1305
244.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
253
4.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
270
4.51 IPS |
|
|
Image Segmentation (I8)
|
100% |
270
4.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
2892
3.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
4187
5.07 IPS |
|
|
Pose Estimation (I8)
|
100% |
4070
4.93 IPS |
|
|
Object Detection (F32)
|
100% |
694
51.8 IPS |
|
|
Object Detection (F16)
|
100% |
861
64.3 IPS |
|
|
Object Detection (I8)
|
97% |
817
61.0 IPS |
|
|
Face Detection (F32)
|
100% |
2718
32.3 IPS |
|
|
Face Detection (F16)
|
98% |
4354
51.8 IPS |
|
|
Face Detection (I8)
|
97% |
3066
36.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2582
20.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
4000
31.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
3977
30.8 IPS |
|
|
Style Transfer (F32)
|
100% |
8133
10.7 IPS |
|
|
Style Transfer (F16)
|
100% |
8287
10.9 IPS |
|
|
Style Transfer (I8)
|
100% |
10618
14.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1753
62.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2373
84.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2433
86.9 IPS |
|
|
Text Classification (F32)
|
100% |
212
304.0 IPS |
|
|
Text Classification (F16)
|
100% |
251
361.0 IPS |
|
|
Text Classification (I8)
|
96% |
252
362.7 IPS |
|
|
Machine Translation (F32)
|
100% |
355
6.53 IPS |
|
|
Machine Translation (F16)
|
100% |
345
6.35 IPS |
|
|
Machine Translation (I8)
|
99% |
356
6.54 IPS |
