iPad Pro (11-inch 3rd generation)
Geekbench ML Score
1957
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 09:55 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| 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 | 7.35 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1076
201.3 IPS |
|
|
Image Classification (F16)
|
100% |
981
183.6 IPS |
|
|
Image Classification (I8)
|
99% |
987
184.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
451
7.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
417
6.96 IPS |
|
|
Image Segmentation (I8)
|
100% |
417
6.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
5567
6.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
11135
13.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
11131
13.5 IPS |
|
|
Object Detection (F32)
|
100% |
1108
82.7 IPS |
|
|
Object Detection (F16)
|
100% |
1089
81.3 IPS |
|
|
Object Detection (I8)
|
97% |
1109
82.8 IPS |
|
|
Face Detection (F32)
|
100% |
2180
25.9 IPS |
|
|
Face Detection (F16)
|
100% |
1821
21.7 IPS |
|
|
Face Detection (I8)
|
99% |
1824
21.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3848
29.8 IPS |
|
|
Depth Estimation (F16)
|
99% |
4117
31.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
4109
31.9 IPS |
|
|
Style Transfer (F32)
|
100% |
10569
13.9 IPS |
|
|
Style Transfer (F16)
|
100% |
12659
16.7 IPS |
|
|
Style Transfer (I8)
|
100% |
12686
16.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2904
103.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2746
98.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2753
98.3 IPS |
|
|
Text Classification (F32)
|
100% |
1177
1.69 KIPS |
|
|
Text Classification (F16)
|
100% |
762
1.09 KIPS |
|
|
Text Classification (I8)
|
96% |
761
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
816
15.0 IPS |
|
|
Machine Translation (F16)
|
99% |
939
17.3 IPS |
|
|
Machine Translation (I8)
|
99% |
818
15.0 IPS |
