iPad Pro 11-inch (2nd generation)
Geekbench ML Score
1388
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 10 2024 12:28 PM |
| Views | 1 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
889
166.4 IPS |
|
|
Image Classification (F16)
|
100% |
1071
200.4 IPS |
|
|
Image Classification (I8)
|
99% |
1048
196.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
248
4.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
260
4.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
259
4.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
3023
3.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
4311
5.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
4331
5.24 IPS |
|
|
Object Detection (F32)
|
100% |
893
66.7 IPS |
|
|
Object Detection (F16)
|
100% |
1143
85.3 IPS |
|
|
Object Detection (I8)
|
97% |
911
68.0 IPS |
|
|
Face Detection (F32)
|
100% |
3410
40.5 IPS |
|
|
Face Detection (F16)
|
98% |
3905
46.4 IPS |
|
|
Face Detection (I8)
|
97% |
3945
46.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3279
25.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
4845
37.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
4860
37.7 IPS |
|
|
Style Transfer (F32)
|
100% |
8709
11.5 IPS |
|
|
Style Transfer (F16)
|
100% |
10488
13.8 IPS |
|
|
Style Transfer (I8)
|
100% |
10396
13.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1678
59.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2319
82.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2438
87.1 IPS |
|
|
Text Classification (F32)
|
100% |
212
304.1 IPS |
|
|
Text Classification (F16)
|
100% |
244
350.5 IPS |
|
|
Text Classification (I8)
|
96% |
246
353.2 IPS |
|
|
Machine Translation (F32)
|
100% |
362
6.66 IPS |
|
|
Machine Translation (F16)
|
100% |
356
6.56 IPS |
|
|
Machine Translation (I8)
|
99% |
363
6.68 IPS |
