iPad Pro (11-inch, 4th generation)
Geekbench ML Score
10161
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 03 2024 02:17 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.37 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3367
630.0 IPS |
|
|
Image Classification (F16)
|
100% |
10927
2.04 KIPS |
|
|
Image Classification (I8)
|
99% |
11581
2.17 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1398
23.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1877
31.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1851
30.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23620
28.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
94117
114.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
97032
117.5 IPS |
|
|
Object Detection (F32)
|
100% |
2866
214.0 IPS |
|
|
Object Detection (F16)
|
100% |
5175
386.3 IPS |
|
|
Object Detection (I8)
|
97% |
2649
197.8 IPS |
|
|
Face Detection (F32)
|
100% |
8940
106.3 IPS |
|
|
Face Detection (F16)
|
97% |
19045
226.4 IPS |
|
|
Face Detection (I8)
|
96% |
19066
226.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16287
126.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
55337
429.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
50424
391.0 IPS |
|
|
Style Transfer (F32)
|
100% |
40405
53.1 IPS |
|
|
Style Transfer (F16)
|
100% |
148489
195.3 IPS |
|
|
Style Transfer (I8)
|
100% |
150665
198.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9684
345.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
35055
1.25 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
37340
1.33 KIPS |
|
|
Text Classification (F32)
|
100% |
2098
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3577
5.14 KIPS |
|
|
Text Classification (I8)
|
96% |
3588
5.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
873
16.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2833
52.1 IPS |
|
|
Machine Translation (I8)
|
99% |
819
15.1 IPS |
