iPhone 11
Geekbench ML Score
1833
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 02 2024 02:56 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
313
58.5 IPS |
|
|
Image Classification (F16)
|
100% |
2775
519.4 IPS |
|
|
Image Classification (I8)
|
99% |
2880
539.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
244
4.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
327
5.46 IPS |
|
|
Image Segmentation (I8)
|
100% |
327
5.46 IPS |
|
|
Pose Estimation (F32)
|
100% |
2261
2.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
27412
33.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
27423
33.2 IPS |
|
|
Object Detection (F32)
|
100% |
485
36.2 IPS |
|
|
Object Detection (F16)
|
100% |
1234
92.1 IPS |
|
|
Object Detection (I8)
|
97% |
530
39.6 IPS |
|
|
Face Detection (F32)
|
100% |
2421
28.8 IPS |
|
|
Face Detection (F16)
|
98% |
5671
67.4 IPS |
|
|
Face Detection (I8)
|
97% |
6036
71.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2490
19.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
22387
173.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
23574
182.8 IPS |
|
|
Style Transfer (F32)
|
100% |
5846
7.69 IPS |
|
|
Style Transfer (F16)
|
100% |
20389
26.8 IPS |
|
|
Style Transfer (I8)
|
100% |
20654
27.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1033
36.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5539
197.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5799
207.1 IPS |
|
|
Text Classification (F32)
|
100% |
238
342.1 IPS |
|
|
Text Classification (F16)
|
100% |
317
455.6 IPS |
|
|
Text Classification (I8)
|
96% |
308
443.1 IPS |
|
|
Machine Translation (F32)
|
100% |
221
4.06 IPS |
|
|
Machine Translation (F16)
|
100% |
223
4.11 IPS |
|
|
Machine Translation (I8)
|
99% |
222
4.08 IPS |
