iPad Pro (11-inch 3rd generation)
Geekbench ML Score
1993
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 25 2024 04:31 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
830
155.3 IPS |
|
|
Image Classification (F16)
|
100% |
1046
195.8 IPS |
|
|
Image Classification (I8)
|
99% |
1049
196.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
475
7.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
454
7.59 IPS |
|
|
Image Segmentation (I8)
|
100% |
454
7.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
3692
4.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
8431
10.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
8455
10.2 IPS |
|
|
Object Detection (F32)
|
100% |
855
63.8 IPS |
|
|
Object Detection (F16)
|
100% |
1109
82.8 IPS |
|
|
Object Detection (I8)
|
97% |
855
63.8 IPS |
|
|
Face Detection (F32)
|
100% |
1716
20.4 IPS |
|
|
Face Detection (F16)
|
97% |
2600
30.9 IPS |
|
|
Face Detection (I8)
|
97% |
2596
30.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3366
26.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5256
40.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
5091
39.5 IPS |
|
|
Style Transfer (F32)
|
100% |
10357
13.6 IPS |
|
|
Style Transfer (F16)
|
100% |
15963
21.0 IPS |
|
|
Style Transfer (I8)
|
100% |
15961
21.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2373
84.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2953
105.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2953
105.5 IPS |
|
|
Text Classification (F32)
|
100% |
1410
2.03 KIPS |
|
|
Text Classification (F16)
|
100% |
2262
3.25 KIPS |
|
|
Text Classification (I8)
|
96% |
2258
3.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
481
8.84 IPS |
|
|
Machine Translation (F16)
|
100% |
542
9.98 IPS |
|
|
Machine Translation (I8)
|
99% |
479
8.82 IPS |
