iPad Pro (11-inch 3rd generation)
Geekbench ML Score
6082
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | saiht |
| Upload Date | January 21 2024 11:45 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| 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 | 7.35 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1598
299.0 IPS |
|
|
Image Classification (F16)
|
100% |
6211
1.16 KIPS |
|
|
Image Classification (I8)
|
99% |
6418
1.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
822
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
842
14.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
835
14.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
15986
19.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
62877
76.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
64889
78.6 IPS |
|
|
Object Detection (F32)
|
100% |
1377
102.8 IPS |
|
|
Object Detection (F16)
|
100% |
3422
255.5 IPS |
|
|
Object Detection (I8)
|
97% |
1410
105.3 IPS |
|
|
Face Detection (F32)
|
100% |
6053
72.0 IPS |
|
|
Face Detection (F16)
|
97% |
11566
137.5 IPS |
|
|
Face Detection (I8)
|
96% |
11800
140.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
11732
91.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
38973
302.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
45490
352.8 IPS |
|
|
Style Transfer (F32)
|
100% |
26999
35.5 IPS |
|
|
Style Transfer (F16)
|
100% |
112392
147.8 IPS |
|
|
Style Transfer (I8)
|
100% |
119006
156.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4150
148.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17858
637.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18154
648.3 IPS |
|
|
Text Classification (F32)
|
100% |
1169
1.68 KIPS |
|
|
Text Classification (F16)
|
100% |
2213
3.18 KIPS |
|
|
Text Classification (I8)
|
96% |
2197
3.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
525
9.66 IPS |
|
|
Machine Translation (F16)
|
100% |
1745
32.1 IPS |
|
|
Machine Translation (I8)
|
99% |
480
8.83 IPS |
