Apple Vision Pro:Neural Engine iPad Pro (11-inch 3rd generation)
Geekbench ML Score
3674
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 21 2024 07:06 PM |
| Views | 20 |
| Notes | Apple Vision Pro/M2/16GB/256GBSSD/10 Core GPU |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 15.31 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1731
324.0 IPS |
|
|
Image Classification (F16)
|
100% |
1841
344.5 IPS |
|
|
Image Classification (I8)
|
99% |
1709
319.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
912
15.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1003
16.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1013
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
16582
20.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
16968
20.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
18511
22.4 IPS |
|
|
Object Detection (F32)
|
100% |
2011
150.1 IPS |
|
|
Object Detection (F16)
|
100% |
2077
155.0 IPS |
|
|
Object Detection (I8)
|
97% |
1773
132.4 IPS |
|
|
Face Detection (F32)
|
100% |
5189
61.7 IPS |
|
|
Face Detection (F16)
|
98% |
6889
81.9 IPS |
|
|
Face Detection (I8)
|
97% |
7574
90.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
12268
95.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
12793
99.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
10916
84.7 IPS |
|
|
Style Transfer (F32)
|
100% |
29988
39.4 IPS |
|
|
Style Transfer (F16)
|
100% |
36980
48.6 IPS |
|
|
Style Transfer (I8)
|
100% |
37407
49.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5318
189.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7608
271.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7249
258.9 IPS |
|
|
Text Classification (F32)
|
100% |
887
1.27 KIPS |
|
|
Text Classification (F16)
|
100% |
559
803.9 IPS |
|
|
Text Classification (I8)
|
96% |
564
810.1 IPS |
|
|
Machine Translation (F32)
|
100% |
658
12.1 IPS |
|
|
Machine Translation (F16)
|
100% |
681
12.5 IPS |
|
|
Machine Translation (I8)
|
99% |
658
12.1 IPS |
