iPhone 11 Pro
Geekbench ML Score
1735
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 19 2024 09:09 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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% |
281
52.6 IPS |
|
|
Image Classification (F16)
|
100% |
2640
494.0 IPS |
|
|
Image Classification (I8)
|
99% |
2646
495.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
239
3.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
333
5.56 IPS |
|
|
Image Segmentation (I8)
|
100% |
333
5.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
2260
2.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
25612
31.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
26600
32.2 IPS |
|
|
Object Detection (F32)
|
100% |
488
36.4 IPS |
|
|
Object Detection (F16)
|
100% |
1138
85.0 IPS |
|
|
Object Detection (I8)
|
97% |
395
29.5 IPS |
|
|
Face Detection (F32)
|
100% |
2383
28.3 IPS |
|
|
Face Detection (F16)
|
98% |
5112
60.8 IPS |
|
|
Face Detection (I8)
|
97% |
5117
60.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2479
19.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
21656
167.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
21687
168.2 IPS |
|
|
Style Transfer (F32)
|
100% |
5830
7.67 IPS |
|
|
Style Transfer (F16)
|
100% |
18295
24.1 IPS |
|
|
Style Transfer (I8)
|
100% |
18507
24.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
996
35.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5349
191.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5321
190.0 IPS |
|
|
Text Classification (F32)
|
100% |
237
340.8 IPS |
|
|
Text Classification (F16)
|
100% |
295
424.1 IPS |
|
|
Text Classification (I8)
|
96% |
302
434.6 IPS |
|
|
Machine Translation (F32)
|
100% |
221
4.07 IPS |
|
|
Machine Translation (F16)
|
100% |
211
3.88 IPS |
|
|
Machine Translation (I8)
|
99% |
216
3.97 IPS |
