iPad Pro (11-inch, 4th generation)
Geekbench ML Score
7381
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 03:05 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% |
3349
626.7 IPS |
|
|
Image Classification (F16)
|
100% |
6418
1.20 KIPS |
|
|
Image Classification (I8)
|
99% |
6841
1.28 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1430
23.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1605
26.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1610
26.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23495
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
81847
99.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
84936
102.9 IPS |
|
|
Object Detection (F32)
|
100% |
2828
211.1 IPS |
|
|
Object Detection (F16)
|
100% |
3915
292.3 IPS |
|
|
Object Detection (I8)
|
97% |
2588
193.2 IPS |
|
|
Face Detection (F32)
|
100% |
9315
110.8 IPS |
|
|
Face Detection (F16)
|
97% |
10650
126.6 IPS |
|
|
Face Detection (I8)
|
96% |
10639
126.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16392
127.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
37079
287.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
36687
284.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40160
52.8 IPS |
|
|
Style Transfer (F16)
|
100% |
129832
170.8 IPS |
|
|
Style Transfer (I8)
|
100% |
131445
172.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7828
279.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17980
642.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18342
655.1 IPS |
|
|
Text Classification (F32)
|
100% |
1135
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
762
1.09 KIPS |
|
|
Text Classification (I8)
|
96% |
763
1.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
782
14.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2716
50.0 IPS |
|
|
Machine Translation (I8)
|
99% |
745
13.7 IPS |
