iPad Pro (11-inch 3rd generation)
Geekbench ML Score
7053
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 06:20 PM |
| 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% |
2175
407.0 IPS |
|
|
Image Classification (F16)
|
100% |
5611
1.05 KIPS |
|
|
Image Classification (I8)
|
99% |
6392
1.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
834
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
3996
66.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
3955
66.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
16782
20.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
61262
74.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
61534
74.5 IPS |
|
|
Object Detection (F32)
|
100% |
1516
113.2 IPS |
|
|
Object Detection (F16)
|
100% |
4296
320.7 IPS |
|
|
Object Detection (I8)
|
97% |
1527
114.0 IPS |
|
|
Face Detection (F32)
|
100% |
6627
78.8 IPS |
|
|
Face Detection (F16)
|
97% |
11654
138.6 IPS |
|
|
Face Detection (I8)
|
96% |
11589
137.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
12057
93.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
44621
346.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
43864
340.2 IPS |
|
|
Style Transfer (F32)
|
100% |
25698
33.8 IPS |
|
|
Style Transfer (F16)
|
100% |
113178
148.9 IPS |
|
|
Style Transfer (I8)
|
100% |
115681
152.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4803
171.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17668
631.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18078
645.6 IPS |
|
|
Text Classification (F32)
|
100% |
1105
1.59 KIPS |
|
|
Text Classification (F16)
|
100% |
3042
4.37 KIPS |
|
|
Text Classification (I8)
|
96% |
2094
3.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
615
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1718
31.6 IPS |
|
|
Machine Translation (I8)
|
99% |
539
9.91 IPS |
