iPhone 11
Geekbench ML Score
1857
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 18 2024 01:44 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
742
138.9 IPS |
|
|
Image Classification (F16)
|
100% |
1138
213.0 IPS |
|
|
Image Classification (I8)
|
99% |
1137
212.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
403
6.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
428
7.14 IPS |
|
|
Image Segmentation (I8)
|
100% |
425
7.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
3406
4.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
6477
7.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
6509
7.88 IPS |
|
|
Object Detection (F32)
|
100% |
674
50.3 IPS |
|
|
Object Detection (F16)
|
100% |
1193
89.1 IPS |
|
|
Object Detection (I8)
|
97% |
679
50.7 IPS |
|
|
Face Detection (F32)
|
100% |
1363
16.2 IPS |
|
|
Face Detection (F16)
|
97% |
2608
31.0 IPS |
|
|
Face Detection (I8)
|
97% |
2626
31.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2934
22.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
4855
37.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
4873
37.8 IPS |
|
|
Style Transfer (F32)
|
100% |
7394
9.73 IPS |
|
|
Style Transfer (F16)
|
100% |
13388
17.6 IPS |
|
|
Style Transfer (I8)
|
100% |
13323
17.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2097
74.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2789
99.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2774
99.1 IPS |
|
|
Text Classification (F32)
|
100% |
1311
1.88 KIPS |
|
|
Text Classification (F16)
|
100% |
1871
2.69 KIPS |
|
|
Text Classification (I8)
|
96% |
1855
2.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
615
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
892
16.4 IPS |
|
|
Machine Translation (I8)
|
99% |
616
11.3 IPS |
