iPad Pro (11-inch, 4th generation)
Geekbench ML Score
7301
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 10:25 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 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% |
3350
626.8 IPS |
|
|
Image Classification (F16)
|
100% |
6455
1.21 KIPS |
|
|
Image Classification (I8)
|
99% |
7005
1.31 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1451
24.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1592
26.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1587
26.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
22579
27.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
80948
98.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
85276
103.3 IPS |
|
|
Object Detection (F32)
|
100% |
2794
208.6 IPS |
|
|
Object Detection (F16)
|
100% |
3668
273.8 IPS |
|
|
Object Detection (I8)
|
97% |
2607
194.6 IPS |
|
|
Face Detection (F32)
|
100% |
9296
110.5 IPS |
|
|
Face Detection (F16)
|
97% |
10639
126.5 IPS |
|
|
Face Detection (I8)
|
96% |
10674
126.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16025
124.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
37316
289.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
36130
280.2 IPS |
|
|
Style Transfer (F32)
|
100% |
39391
51.8 IPS |
|
|
Style Transfer (F16)
|
100% |
131677
173.2 IPS |
|
|
Style Transfer (I8)
|
100% |
132445
174.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7246
258.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17904
639.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18174
649.0 IPS |
|
|
Text Classification (F32)
|
100% |
1100
1.58 KIPS |
|
|
Text Classification (F16)
|
100% |
742
1.07 KIPS |
|
|
Text Classification (I8)
|
96% |
745
1.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
797
14.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2610
48.0 IPS |
|
|
Machine Translation (I8)
|
99% |
740
13.6 IPS |
