iPad Pro (11-inch 3rd generation)
Geekbench ML Score
6533
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 19 2024 05:58 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.37 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1084
202.8 IPS |
|
|
Image Classification (F16)
|
100% |
5879
1.10 KIPS |
|
|
Image Classification (I8)
|
99% |
6120
1.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
827
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1167
19.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1169
19.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
16585
20.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
61381
74.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
63937
77.4 IPS |
|
|
Object Detection (F32)
|
100% |
1407
105.0 IPS |
|
|
Object Detection (F16)
|
100% |
3402
254.0 IPS |
|
|
Object Detection (I8)
|
97% |
1488
111.1 IPS |
|
|
Face Detection (F32)
|
100% |
5906
70.2 IPS |
|
|
Face Detection (F16)
|
97% |
12002
142.7 IPS |
|
|
Face Detection (I8)
|
96% |
11962
142.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
11837
91.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
39853
309.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
40774
316.2 IPS |
|
|
Style Transfer (F32)
|
100% |
27806
36.6 IPS |
|
|
Style Transfer (F16)
|
100% |
113522
149.3 IPS |
|
|
Style Transfer (I8)
|
100% |
116819
153.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6158
219.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22808
814.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
23016
822.0 IPS |
|
|
Text Classification (F32)
|
100% |
2047
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3372
4.85 KIPS |
|
|
Text Classification (I8)
|
96% |
3374
4.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
472
8.68 IPS |
|
|
Machine Translation (F16)
|
100% |
1291
23.7 IPS |
|
|
Machine Translation (I8)
|
99% |
507
9.33 IPS |
