iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
1946
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 21 2024 09:22 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,9 |
| Motherboard | J522xAP |
| 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 | 15.33 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1074
201.0 IPS |
|
|
Image Classification (F16)
|
100% |
981
183.6 IPS |
|
|
Image Classification (I8)
|
99% |
979
183.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
453
7.57 IPS |
|
|
Image Segmentation (F16)
|
100% |
412
6.88 IPS |
|
|
Image Segmentation (I8)
|
100% |
416
6.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
5519
6.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
11098
13.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
11111
13.5 IPS |
|
|
Object Detection (F32)
|
100% |
1087
81.1 IPS |
|
|
Object Detection (F16)
|
100% |
1077
80.4 IPS |
|
|
Object Detection (I8)
|
97% |
1095
81.8 IPS |
|
|
Face Detection (F32)
|
100% |
2169
25.8 IPS |
|
|
Face Detection (F16)
|
100% |
1833
21.8 IPS |
|
|
Face Detection (I8)
|
99% |
1813
21.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3846
29.8 IPS |
|
|
Depth Estimation (F16)
|
99% |
4127
32.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
4090
31.7 IPS |
|
|
Style Transfer (F32)
|
100% |
10545
13.9 IPS |
|
|
Style Transfer (F16)
|
100% |
12567
16.5 IPS |
|
|
Style Transfer (I8)
|
100% |
12682
16.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2899
103.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2724
97.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2733
97.6 IPS |
|
|
Text Classification (F32)
|
100% |
1154
1.66 KIPS |
|
|
Text Classification (F16)
|
100% |
759
1.09 KIPS |
|
|
Text Classification (I8)
|
96% |
759
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
806
14.8 IPS |
|
|
Machine Translation (F16)
|
99% |
930
17.1 IPS |
|
|
Machine Translation (I8)
|
99% |
809
14.9 IPS |
