iPhone 11 Pro
Geekbench ML Score
1887
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 07 2024 12:39 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6.1 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.68 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
312
58.5 IPS |
|
|
Image Classification (F16)
|
100% |
2872
537.4 IPS |
|
|
Image Classification (I8)
|
99% |
2899
542.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
309
5.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
491
8.19 IPS |
|
|
Image Segmentation (I8)
|
100% |
490
8.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
2288
2.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
26299
31.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
25682
31.1 IPS |
|
|
Object Detection (F32)
|
100% |
515
38.5 IPS |
|
|
Object Detection (F16)
|
100% |
1094
81.7 IPS |
|
|
Object Detection (I8)
|
97% |
534
39.9 IPS |
|
|
Face Detection (F32)
|
100% |
2484
29.5 IPS |
|
|
Face Detection (F16)
|
97% |
5155
61.3 IPS |
|
|
Face Detection (I8)
|
96% |
5288
62.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2462
19.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
21429
166.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
20356
157.9 IPS |
|
|
Style Transfer (F32)
|
24% |
5912
7.78 IPS |
|
|
Style Transfer (F16)
|
100% |
17619
23.2 IPS |
|
|
Style Transfer (I8)
|
100% |
17457
23.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1323
47.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4794
171.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4883
174.4 IPS |
|
|
Text Classification (F32)
|
100% |
236
339.2 IPS |
|
|
Text Classification (F16)
|
100% |
314
451.2 IPS |
|
|
Text Classification (I8)
|
96% |
311
447.3 IPS |
|
|
Machine Translation (F32)
|
100% |
303
5.57 IPS |
|
|
Machine Translation (F16)
|
100% |
237
4.36 IPS |
|
|
Machine Translation (I8)
|
99% |
312
5.75 IPS |
