iPhone 11
Geekbench ML Score
1867
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 06 2024 08:26 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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% |
745
139.4 IPS |
|
|
Image Classification (F16)
|
100% |
1131
211.6 IPS |
|
|
Image Classification (I8)
|
99% |
1134
212.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
406
6.78 IPS |
|
|
Image Segmentation (F16)
|
100% |
437
7.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
429
7.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
3567
4.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
6512
7.89 IPS |
|
|
Pose Estimation (I8)
|
100% |
6513
7.89 IPS |
|
|
Object Detection (F32)
|
100% |
672
50.1 IPS |
|
|
Object Detection (F16)
|
100% |
1203
89.8 IPS |
|
|
Object Detection (I8)
|
97% |
670
50.0 IPS |
|
|
Face Detection (F32)
|
100% |
1376
16.4 IPS |
|
|
Face Detection (F16)
|
97% |
2626
31.2 IPS |
|
|
Face Detection (I8)
|
97% |
2635
31.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3006
23.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
4890
37.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
4889
37.9 IPS |
|
|
Style Transfer (F32)
|
100% |
7577
9.97 IPS |
|
|
Style Transfer (F16)
|
100% |
13272
17.5 IPS |
|
|
Style Transfer (I8)
|
100% |
13295
17.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2157
77.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2729
97.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2767
98.8 IPS |
|
|
Text Classification (F32)
|
100% |
1315
1.89 KIPS |
|
|
Text Classification (F16)
|
100% |
1850
2.66 KIPS |
|
|
Text Classification (I8)
|
96% |
1830
2.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
611
11.2 IPS |
|
|
Machine Translation (F16)
|
100% |
924
17.0 IPS |
|
|
Machine Translation (I8)
|
99% |
612
11.3 IPS |
