iPhone 11 Pro
Geekbench ML Score
1851
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 10:27 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
744
139.2 IPS |
|
|
Image Classification (F16)
|
100% |
1129
211.2 IPS |
|
|
Image Classification (I8)
|
99% |
1125
210.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
409
6.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
454
7.58 IPS |
|
|
Image Segmentation (I8)
|
100% |
426
7.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
3561
4.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
6496
7.87 IPS |
|
|
Pose Estimation (I8)
|
100% |
6488
7.86 IPS |
|
|
Object Detection (F32)
|
100% |
662
49.5 IPS |
|
|
Object Detection (F16)
|
100% |
1172
87.5 IPS |
|
|
Object Detection (I8)
|
97% |
664
49.6 IPS |
|
|
Face Detection (F32)
|
100% |
1380
16.4 IPS |
|
|
Face Detection (F16)
|
97% |
2638
31.4 IPS |
|
|
Face Detection (I8)
|
97% |
2623
31.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2993
23.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
4886
37.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
4887
37.9 IPS |
|
|
Style Transfer (F32)
|
100% |
7662
10.1 IPS |
|
|
Style Transfer (F16)
|
100% |
13335
17.5 IPS |
|
|
Style Transfer (I8)
|
100% |
13336
17.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2152
76.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2731
97.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2726
97.4 IPS |
|
|
Text Classification (F32)
|
100% |
1305
1.88 KIPS |
|
|
Text Classification (F16)
|
100% |
1854
2.66 KIPS |
|
|
Text Classification (I8)
|
96% |
1866
2.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
608
11.2 IPS |
|
|
Machine Translation (F16)
|
100% |
816
15.0 IPS |
|
|
Machine Translation (I8)
|
99% |
547
10.1 IPS |
