iPhone 11
Geekbench ML Score
1419
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 12 2024 05:17 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3.1 |
| 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% |
270
50.5 IPS |
|
|
Image Classification (F16)
|
100% |
1734
324.5 IPS |
|
|
Image Classification (I8)
|
99% |
1773
331.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
184
3.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
229
3.82 IPS |
|
|
Image Segmentation (I8)
|
100% |
230
3.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
1711
2.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
19534
23.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
15349
18.6 IPS |
|
|
Object Detection (F32)
|
100% |
465
34.7 IPS |
|
|
Object Detection (F16)
|
100% |
925
69.1 IPS |
|
|
Object Detection (I8)
|
97% |
513
38.3 IPS |
|
|
Face Detection (F32)
|
100% |
2124
25.3 IPS |
|
|
Face Detection (F16)
|
97% |
4864
57.8 IPS |
|
|
Face Detection (I8)
|
96% |
4643
55.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2157
16.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
18144
140.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
18291
141.8 IPS |
|
|
Style Transfer (F32)
|
24% |
4551
5.99 IPS |
|
|
Style Transfer (F16)
|
100% |
16717
22.0 IPS |
|
|
Style Transfer (I8)
|
100% |
11242
14.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1000
35.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3544
126.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3361
120.0 IPS |
|
|
Text Classification (F32)
|
100% |
229
328.4 IPS |
|
|
Text Classification (F16)
|
100% |
275
395.3 IPS |
|
|
Text Classification (I8)
|
96% |
246
353.2 IPS |
|
|
Machine Translation (F32)
|
100% |
197
3.63 IPS |
|
|
Machine Translation (F16)
|
100% |
195
3.59 IPS |
|
|
Machine Translation (I8)
|
99% |
195
3.59 IPS |
