iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
6616
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 04:29 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| 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 | 15.35 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1644
307.6 IPS |
|
|
Image Classification (F16)
|
100% |
5912
1.11 KIPS |
|
|
Image Classification (I8)
|
99% |
6131
1.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
825
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1096
18.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1084
18.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
16150
19.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
61312
74.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
64226
77.8 IPS |
|
|
Object Detection (F32)
|
100% |
1307
97.6 IPS |
|
|
Object Detection (F16)
|
100% |
3521
262.9 IPS |
|
|
Object Detection (I8)
|
97% |
1442
107.6 IPS |
|
|
Face Detection (F32)
|
100% |
5813
69.1 IPS |
|
|
Face Detection (F16)
|
97% |
11763
139.9 IPS |
|
|
Face Detection (I8)
|
96% |
11696
139.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
11914
92.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
38733
300.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
39105
303.3 IPS |
|
|
Style Transfer (F32)
|
100% |
28474
37.5 IPS |
|
|
Style Transfer (F16)
|
100% |
111808
147.1 IPS |
|
|
Style Transfer (I8)
|
100% |
117059
154.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5559
198.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22922
818.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
23239
830.0 IPS |
|
|
Text Classification (F32)
|
100% |
2108
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3603
5.18 KIPS |
|
|
Text Classification (I8)
|
96% |
3638
5.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
485
8.92 IPS |
|
|
Machine Translation (F16)
|
100% |
1562
28.7 IPS |
|
|
Machine Translation (I8)
|
99% |
506
9.31 IPS |
