Apple Vision Pro:GPU iPad Pro (11-inch 3rd generation)
Geekbench ML Score
3568
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 21 2024 07:08 PM |
| Views | 9 |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1587
297.0 IPS |
|
|
Image Classification (F16)
|
100% |
2054
384.3 IPS |
|
|
Image Classification (I8)
|
99% |
1646
307.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
907
15.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
970
16.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
903
15.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
13778
16.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
15080
18.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14990
18.2 IPS |
|
|
Object Detection (F32)
|
100% |
1692
126.3 IPS |
|
|
Object Detection (F16)
|
100% |
1676
125.1 IPS |
|
|
Object Detection (I8)
|
97% |
1631
121.7 IPS |
|
|
Face Detection (F32)
|
100% |
4987
59.3 IPS |
|
|
Face Detection (F16)
|
98% |
7549
89.8 IPS |
|
|
Face Detection (I8)
|
97% |
6501
77.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
10514
81.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
13005
100.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
12043
93.4 IPS |
|
|
Style Transfer (F32)
|
100% |
33377
43.9 IPS |
|
|
Style Transfer (F16)
|
100% |
36705
48.3 IPS |
|
|
Style Transfer (I8)
|
100% |
40303
53.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6676
238.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7952
284.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6236
222.7 IPS |
|
|
Text Classification (F32)
|
100% |
922
1.32 KIPS |
|
|
Text Classification (F16)
|
100% |
567
814.9 IPS |
|
|
Text Classification (I8)
|
96% |
569
817.5 IPS |
|
|
Machine Translation (F32)
|
100% |
671
12.3 IPS |
|
|
Machine Translation (F16)
|
100% |
679
12.5 IPS |
|
|
Machine Translation (I8)
|
99% |
685
12.6 IPS |
