iPhone 11 Pro
Geekbench ML Score
1749
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 09:52 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
272
50.9 IPS |
|
|
Image Classification (F16)
|
100% |
2685
502.5 IPS |
|
|
Image Classification (I8)
|
99% |
2646
495.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
224
3.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
332
5.55 IPS |
|
|
Image Segmentation (I8)
|
100% |
333
5.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
2264
2.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
25173
30.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
26234
31.8 IPS |
|
|
Object Detection (F32)
|
100% |
461
34.4 IPS |
|
|
Object Detection (F16)
|
100% |
1179
88.0 IPS |
|
|
Object Detection (I8)
|
97% |
508
37.9 IPS |
|
|
Face Detection (F32)
|
100% |
2374
28.2 IPS |
|
|
Face Detection (F16)
|
98% |
4654
55.3 IPS |
|
|
Face Detection (I8)
|
97% |
4754
56.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2460
19.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
21984
170.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
21604
167.5 IPS |
|
|
Style Transfer (F32)
|
100% |
5739
7.55 IPS |
|
|
Style Transfer (F16)
|
100% |
19766
26.0 IPS |
|
|
Style Transfer (I8)
|
100% |
18004
23.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1354
48.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5215
186.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5340
190.7 IPS |
|
|
Text Classification (F32)
|
100% |
231
331.9 IPS |
|
|
Text Classification (F16)
|
100% |
295
423.4 IPS |
|
|
Text Classification (I8)
|
96% |
285
409.3 IPS |
|
|
Machine Translation (F32)
|
100% |
223
4.11 IPS |
|
|
Machine Translation (F16)
|
100% |
212
3.91 IPS |
|
|
Machine Translation (I8)
|
99% |
225
4.14 IPS |
