iPad Pro (11-inch 3rd generation)
Geekbench ML Score
5619
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 05:54 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1216
227.5 IPS |
|
|
Image Classification (F16)
|
100% |
4817
901.4 IPS |
|
|
Image Classification (I8)
|
99% |
4870
911.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
741
12.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
3228
53.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
3242
54.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
14835
18.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
43560
52.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
44604
54.0 IPS |
|
|
Object Detection (F32)
|
100% |
1397
104.3 IPS |
|
|
Object Detection (F16)
|
100% |
2928
218.6 IPS |
|
|
Object Detection (I8)
|
97% |
1374
102.6 IPS |
|
|
Face Detection (F32)
|
100% |
4622
55.0 IPS |
|
|
Face Detection (F16)
|
97% |
9077
107.9 IPS |
|
|
Face Detection (I8)
|
96% |
9014
107.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
8793
68.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
33770
261.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
34192
265.2 IPS |
|
|
Style Transfer (F32)
|
100% |
26023
34.2 IPS |
|
|
Style Transfer (F16)
|
100% |
86753
114.1 IPS |
|
|
Style Transfer (I8)
|
100% |
90933
119.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4841
172.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14237
508.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
14509
518.1 IPS |
|
|
Text Classification (F32)
|
100% |
750
1.08 KIPS |
|
|
Text Classification (F16)
|
100% |
2107
3.03 KIPS |
|
|
Text Classification (I8)
|
96% |
2134
3.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
452
8.31 IPS |
|
|
Machine Translation (F16)
|
100% |
1681
30.9 IPS |
|
|
Machine Translation (I8)
|
99% |
427
7.86 IPS |
