Apple Vision Pro:CPU iPad Pro (11-inch 3rd generation)
Geekbench ML Score
3117
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 21 2024 07:10 PM |
| Views | 8 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1358
254.1 IPS |
|
|
Image Classification (F16)
|
100% |
1764
330.0 IPS |
|
|
Image Classification (I8)
|
99% |
1767
330.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
664
11.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
640
10.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
626
10.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4836
5.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
12816
15.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
13119
15.9 IPS |
|
|
Object Detection (F32)
|
100% |
1312
97.9 IPS |
|
|
Object Detection (F16)
|
100% |
1792
133.8 IPS |
|
|
Object Detection (I8)
|
97% |
1253
93.6 IPS |
|
|
Face Detection (F32)
|
100% |
2331
27.7 IPS |
|
|
Face Detection (F16)
|
97% |
3786
45.0 IPS |
|
|
Face Detection (I8)
|
97% |
3760
44.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4792
37.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
7943
61.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
7952
61.7 IPS |
|
|
Style Transfer (F32)
|
100% |
14918
19.6 IPS |
|
|
Style Transfer (F16)
|
100% |
23959
31.5 IPS |
|
|
Style Transfer (I8)
|
100% |
23341
30.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3345
119.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4455
159.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4737
169.2 IPS |
|
|
Text Classification (F32)
|
100% |
2071
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3223
4.63 KIPS |
|
|
Text Classification (I8)
|
96% |
3254
4.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
1177
21.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1414
26.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1131
20.8 IPS |
