iPad Pro (11-inch 3rd generation)
Geekbench ML Score
3568
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 21 2024 09:17 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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 | 7.37 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1392
260.6 IPS |
|
|
Image Classification (F16)
|
100% |
2159
404.0 IPS |
|
|
Image Classification (I8)
|
99% |
2167
405.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
686
11.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
842
14.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
839
14.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6255
7.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
13413
16.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
13416
16.2 IPS |
|
|
Object Detection (F32)
|
100% |
1365
101.9 IPS |
|
|
Object Detection (F16)
|
100% |
2006
149.7 IPS |
|
|
Object Detection (I8)
|
97% |
1364
101.8 IPS |
|
|
Face Detection (F32)
|
100% |
2999
35.7 IPS |
|
|
Face Detection (F16)
|
97% |
5442
64.7 IPS |
|
|
Face Detection (I8)
|
97% |
5419
64.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5768
44.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11021
85.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
10993
85.2 IPS |
|
|
Style Transfer (F32)
|
100% |
16925
22.3 IPS |
|
|
Style Transfer (F16)
|
100% |
26176
34.4 IPS |
|
|
Style Transfer (I8)
|
100% |
26152
34.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3863
138.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4647
166.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4731
168.9 IPS |
|
|
Text Classification (F32)
|
100% |
2120
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3532
5.08 KIPS |
|
|
Text Classification (I8)
|
96% |
3580
5.15 KIPS |
|
|
Machine Translation (F32)
|
100% |
1116
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1395
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1115
20.5 IPS |
