iPad Pro 11-inch (2nd generation)
Geekbench ML Score
656
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 16 2024 01:20 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| 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% |
356
66.6 IPS |
|
|
Image Classification (F16)
|
100% |
320
59.8 IPS |
|
|
Image Classification (I8)
|
99% |
320
60.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
223
3.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
210
3.51 IPS |
|
|
Image Segmentation (I8)
|
100% |
210
3.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
2119
2.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
2115
2.56 IPS |
|
|
Pose Estimation (I8)
|
100% |
2113
2.56 IPS |
|
|
Object Detection (F32)
|
100% |
394
29.4 IPS |
|
|
Object Detection (F16)
|
100% |
351
26.2 IPS |
|
|
Object Detection (I8)
|
97% |
391
29.2 IPS |
|
|
Face Detection (F32)
|
100% |
856
10.2 IPS |
|
|
Face Detection (F16)
|
100% |
833
9.91 IPS |
|
|
Face Detection (I8)
|
99% |
800
9.51 IPS |
|
|
Depth Estimation (F32)
|
100% |
1071
8.31 IPS |
|
|
Depth Estimation (F16)
|
100% |
973
7.54 IPS |
|
|
Depth Estimation (I8)
|
99% |
975
7.56 IPS |
|
|
Style Transfer (F32)
|
100% |
3523
4.63 IPS |
|
|
Style Transfer (F16)
|
100% |
3468
4.56 IPS |
|
|
Style Transfer (I8)
|
100% |
3497
4.60 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1000
35.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
985
35.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
988
35.3 IPS |
|
|
Text Classification (F32)
|
100% |
255
366.6 IPS |
|
|
Text Classification (F16)
|
100% |
302
434.2 IPS |
|
|
Text Classification (I8)
|
96% |
303
435.4 IPS |
|
|
Machine Translation (F32)
|
100% |
341
6.28 IPS |
|
|
Machine Translation (F16)
|
100% |
276
5.09 IPS |
|
|
Machine Translation (I8)
|
99% |
344
6.32 IPS |
