iPhone 11
Geekbench ML Score
1787
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 27 2024 08:36 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPhone 11 |
| Model ID | iPhone12,1 |
| Motherboard | N104AP |
| 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 | 3.76 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
295
55.3 IPS |
|
|
Image Classification (F16)
|
100% |
2650
495.9 IPS |
|
|
Image Classification (I8)
|
99% |
2847
532.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
224
3.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
305
5.09 IPS |
|
|
Image Segmentation (I8)
|
100% |
314
5.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
2249
2.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
26033
31.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
27047
32.8 IPS |
|
|
Object Detection (F32)
|
100% |
477
35.6 IPS |
|
|
Object Detection (F16)
|
100% |
1179
88.0 IPS |
|
|
Object Detection (I8)
|
97% |
490
36.6 IPS |
|
|
Face Detection (F32)
|
100% |
2394
28.5 IPS |
|
|
Face Detection (F16)
|
98% |
4601
54.7 IPS |
|
|
Face Detection (I8)
|
97% |
4819
57.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2544
19.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
24455
189.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
21633
167.8 IPS |
|
|
Style Transfer (F32)
|
100% |
6104
8.03 IPS |
|
|
Style Transfer (F16)
|
100% |
21723
28.6 IPS |
|
|
Style Transfer (I8)
|
100% |
20977
27.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1283
45.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5321
190.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5450
194.6 IPS |
|
|
Text Classification (F32)
|
100% |
235
337.3 IPS |
|
|
Text Classification (F16)
|
100% |
309
444.3 IPS |
|
|
Text Classification (I8)
|
96% |
315
453.0 IPS |
|
|
Machine Translation (F32)
|
100% |
226
4.17 IPS |
|
|
Machine Translation (F16)
|
100% |
211
3.89 IPS |
|
|
Machine Translation (I8)
|
99% |
220
4.05 IPS |
