iPad Pro 11-inch (2nd generation)
Geekbench ML Score
1038
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 05:46 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,9 |
| Motherboard | J417AP |
| 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
464
86.9 IPS |
|
|
Image Classification (F16)
|
100% |
667
124.8 IPS |
|
|
Image Classification (I8)
|
99% |
673
126.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
296
4.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
353
5.89 IPS |
|
|
Image Segmentation (I8)
|
100% |
359
6.00 IPS |
|
|
Pose Estimation (F32)
|
100% |
2498
3.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
2230
2.70 IPS |
|
|
Pose Estimation (I8)
|
100% |
2261
2.74 IPS |
|
|
Object Detection (F32)
|
100% |
498
37.2 IPS |
|
|
Object Detection (F16)
|
100% |
777
58.0 IPS |
|
|
Object Detection (I8)
|
97% |
498
37.2 IPS |
|
|
Face Detection (F32)
|
100% |
1086
12.9 IPS |
|
|
Face Detection (F16)
|
97% |
1832
21.8 IPS |
|
|
Face Detection (I8)
|
96% |
1828
21.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1339
10.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2372
18.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
2344
18.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4770
6.27 IPS |
|
|
Style Transfer (F16)
|
100% |
7498
9.86 IPS |
|
|
Style Transfer (I8)
|
100% |
7548
9.93 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1222
43.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1456
52.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1454
51.9 IPS |
|
|
Text Classification (F32)
|
100% |
267
384.4 IPS |
|
|
Text Classification (F16)
|
100% |
521
748.4 IPS |
|
|
Text Classification (I8)
|
96% |
522
749.6 IPS |
|
|
Machine Translation (F32)
|
100% |
448
8.24 IPS |
|
|
Machine Translation (F16)
|
100% |
597
11.0 IPS |
|
|
Machine Translation (I8)
|
99% |
446
8.22 IPS |
