iPhone 11 Pro
Geekbench ML Score
1867
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 29 2024 03:35 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| 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 | 3.68 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
746
139.5 IPS |
|
|
Image Classification (F16)
|
100% |
1131
211.7 IPS |
|
|
Image Classification (I8)
|
99% |
1137
212.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
398
6.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
429
7.16 IPS |
|
|
Image Segmentation (I8)
|
100% |
430
7.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
3557
4.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
6492
7.86 IPS |
|
|
Pose Estimation (I8)
|
100% |
6493
7.86 IPS |
|
|
Object Detection (F32)
|
100% |
673
50.2 IPS |
|
|
Object Detection (F16)
|
100% |
1196
89.3 IPS |
|
|
Object Detection (I8)
|
97% |
677
50.5 IPS |
|
|
Face Detection (F32)
|
100% |
1372
16.3 IPS |
|
|
Face Detection (F16)
|
97% |
2630
31.3 IPS |
|
|
Face Detection (I8)
|
97% |
2632
31.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2980
23.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
4886
37.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
4889
37.9 IPS |
|
|
Style Transfer (F32)
|
100% |
7574
9.96 IPS |
|
|
Style Transfer (F16)
|
100% |
13326
17.5 IPS |
|
|
Style Transfer (I8)
|
100% |
13302
17.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2176
77.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2824
100.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2814
100.5 IPS |
|
|
Text Classification (F32)
|
100% |
1312
1.89 KIPS |
|
|
Text Classification (F16)
|
100% |
1846
2.65 KIPS |
|
|
Text Classification (I8)
|
96% |
1839
2.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
610
11.2 IPS |
|
|
Machine Translation (F16)
|
100% |
917
16.9 IPS |
|
|
Machine Translation (I8)
|
99% |
611
11.2 IPS |
