iPhone 11 Pro
Geekbench ML Score
1754
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 29 2024 03:57 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
269
50.4 IPS |
|
|
Image Classification (F16)
|
100% |
2642
494.4 IPS |
|
|
Image Classification (I8)
|
99% |
2651
496.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
223
3.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
332
5.54 IPS |
|
|
Image Segmentation (I8)
|
100% |
330
5.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
2257
2.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
25786
31.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
25712
31.1 IPS |
|
|
Object Detection (F32)
|
100% |
539
40.3 IPS |
|
|
Object Detection (F16)
|
100% |
1150
85.9 IPS |
|
|
Object Detection (I8)
|
97% |
508
38.0 IPS |
|
|
Face Detection (F32)
|
100% |
2492
29.6 IPS |
|
|
Face Detection (F16)
|
98% |
5032
59.8 IPS |
|
|
Face Detection (I8)
|
97% |
5021
59.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2465
19.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
21797
169.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
22480
174.3 IPS |
|
|
Style Transfer (F32)
|
100% |
5902
7.76 IPS |
|
|
Style Transfer (F16)
|
100% |
17914
23.6 IPS |
|
|
Style Transfer (I8)
|
100% |
18248
24.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1125
40.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5436
194.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5313
189.7 IPS |
|
|
Text Classification (F32)
|
100% |
231
332.3 IPS |
|
|
Text Classification (F16)
|
100% |
296
424.9 IPS |
|
|
Text Classification (I8)
|
96% |
298
427.9 IPS |
|
|
Machine Translation (F32)
|
100% |
221
4.06 IPS |
|
|
Machine Translation (F16)
|
100% |
205
3.78 IPS |
|
|
Machine Translation (I8)
|
99% |
220
4.04 IPS |
