iPad Pro 11-inch (2nd generation)
Geekbench ML Score
1037
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 10 2024 12:24 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,10 |
| Motherboard | J418AP |
| 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% |
460
86.1 IPS |
|
|
Image Classification (F16)
|
100% |
665
124.4 IPS |
|
|
Image Classification (I8)
|
99% |
662
123.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
295
4.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
352
5.87 IPS |
|
|
Image Segmentation (I8)
|
100% |
350
5.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
2505
3.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
2262
2.74 IPS |
|
|
Pose Estimation (I8)
|
100% |
2229
2.70 IPS |
|
|
Object Detection (F32)
|
100% |
498
37.2 IPS |
|
|
Object Detection (F16)
|
100% |
785
58.6 IPS |
|
|
Object Detection (I8)
|
97% |
500
37.3 IPS |
|
|
Face Detection (F32)
|
100% |
1085
12.9 IPS |
|
|
Face Detection (F16)
|
97% |
1839
21.9 IPS |
|
|
Face Detection (I8)
|
96% |
1829
21.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1342
10.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2375
18.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
2350
18.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4772
6.28 IPS |
|
|
Style Transfer (F16)
|
100% |
7514
9.88 IPS |
|
|
Style Transfer (I8)
|
100% |
7531
9.91 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1221
43.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1431
51.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1464
52.3 IPS |
|
|
Text Classification (F32)
|
100% |
266
382.8 IPS |
|
|
Text Classification (F16)
|
100% |
522
750.6 IPS |
|
|
Text Classification (I8)
|
96% |
522
750.1 IPS |
|
|
Machine Translation (F32)
|
100% |
448
8.24 IPS |
|
|
Machine Translation (F16)
|
100% |
599
11.0 IPS |
|
|
Machine Translation (I8)
|
99% |
448
8.24 IPS |
